<div data-page-id="VpiodcnF1oJmsBxtFbacHbfbnph" data-lark-html-role="root" data-docx-has-block-data="false"><div class="ace-line old-record-id-XCcad8N9dooLyHxTg6Ic4bFqnyc">On November 6, ahead of the 2026 APEC Economic Leaders' Meeting in Shenzhen, Pudu Robotics joined the "<i>Lights Out for Migratory Birds" Public-Welfare Campaign</i> at Shenzhen Bay Park, contributing to a collective effort to raise awareness of light pollution and protect migratory birds.</div><div class="ace-line old-record-id-XCcad8N9dooLyHxTg6Ic4bFqnyc">&nbsp;</div><div class="ace-line old-record-id-P5jcdktltou593xNDYMcMHbBnYb">As a company rooted in Shenzhen and a global leader in commercial robotics, Pudu sees environmental responsibility as an important part of its commitment to sustainable development. By bringing its robots into this community initiative, Pudu explored how technological innovation can support environmental protection while creating value for the communities it serves.</div><h3>Lights Out for Migratory Birds: A City's Commitment to Biodiversity</h3><div class="ace-line old-record-id-RnHldzq7voD5rhxfJZfcNNjAnbg">Shenzhen Bay is an important stopover and wintering site along the East Asian–Australasian Flyway, one of the world's major migratory bird routes. Its coastal wetlands provide a vital place for birds to rest and feed during their long journeys.</div><div class="ace-line old-record-id-RnHldzq7voD5rhxfJZfcNNjAnbg">&nbsp;</div><div class="ace-line old-record-id-FSskdXSupoIid3xDJ4Vcqi9Gnsf">However, artificial light at night can disrupt birds' navigation, migration patterns, and natural rhythms. Reducing unnecessary nighttime lighting is therefore an important measure in protecting their habitats.</div><div class="ace-line old-record-id-FSskdXSupoIid3xDJ4Vcqi9Gnsf">&nbsp;</div><div class="ace-line old-record-id-G1pSdnZxvovR2vx8i8jcGbJWnib">Held on the evening of November 6, the "<i>Lights Out for Migratory Birds" Public-Welfare Campaign</i> called on residents, businesses, and communities to pay greater attention to light pollution and biodiversity conservation.</div><div class="ace-line old-record-id-G1pSdnZxvovR2vx8i8jcGbJWnib">&nbsp;</div><div class="ace-line old-record-id-CVUPdgKVjogkTUxJWTIcbj3enkU">At the event, Shawn Wu, VP of Pudu Robotics, joined international representatives in reading the <i>Greater Bay Area Initiative for Protecting Migratory Birds from Light Pollution</i>, calling on all sectors of society to help safeguard migratory bird habitats and flyways. He then joined Pudu's D5 quadruped robot in the lights-out ceremony, marking the occasion with a symbolic human-robot moment in support of wildlife conservation.</div><p style="text-align:center;"><img class="image_resized" style="aspect-ratio:7008/4672;width:75%;" src="https://cdn.pudutech.com/1_256a520ebb.jpg" alt="1.jpg" width="7008" height="4672"></p><h3>From Public Initiative to Practical Action: Robots in the Community</h3><div class="ace-line old-record-id-OMSudscupoXVpZxq31fcyrfgnuf">Beyond the lights-out ceremony, Pudu's three robots demonstrated how intelligent robotics can support activities in public spaces.</div><div class="ace-line old-record-id-OMSudscupoXVpZxq31fcyrfgnuf">&nbsp;</div><div class="ace-line old-record-id-Jnb9dTN6xo56JcxUCj0cXz2enRc">The PUDU D5 quadruped robot engaged guests through gestures and dance. Equipped with a dual-light inspection gimbal, it also showcased its ability to support equipment inspections in low-light environments. BellaBot Pro delivered stationery, drinking water, and event wristbands to participants, while the PUDU MT1 Max autonomous cleaning robot cleaned the outdoor venue.</div><div class="ace-line old-record-id-Jnb9dTN6xo56JcxUCj0cXz2enRc">&nbsp;</div><div class="ace-line old-record-id-ROVbd4LGboK3whxG9g7cTl0en2e">Together, the three robots took on distinct tasks spanning guest interaction, material delivery, and site cleaning. Their participation reflected the expanding role of robotics beyond traditional commercial and industrial settings, bringing practical services into everyday community life.</div><p style="text-align:center;"><img class="image_resized" style="aspect-ratio:1942/809;width:75%;" src="https://cdn.pudutech.com/_13a075a283.png" alt="拼接图" width="1942" height="809"></p><h3>Making Urban Operations More Sustainable Through Robotics</h3><div class="ace-line old-record-id-DLcJd01N0oLr7TxIId7cHfKonf1">Cities must maintain essential services around the clock, even as they work to reduce unnecessary nighttime lighting and environmental impact. Intelligent robotics can help balance these needs by supporting routine cleaning and inspection tasks in complex environments.</div><div class="ace-line old-record-id-DLcJd01N0oLr7TxIId7cHfKonf1">&nbsp;</div><div class="ace-line old-record-id-UCzod2uZeoMkEix69bJcUx5mnDb">Pudu's AI-Native cleaning robots can identify floor stains and assess cleaning needs, while the D5 quadruped robot, equipped with a dual-light inspection gimbal, can support equipment inspections and visual monitoring in low-light conditions. These capabilities offer cities additional options for maintaining essential operations without relying on extensive nighttime lighting.</div><div class="ace-line old-record-id-UCzod2uZeoMkEix69bJcUx5mnDb">&nbsp;</div><div class="ace-line old-record-id-ILj4dnsmxouo4yxITxQcPPZ8nrg">Resource efficiency is another important part of sustainable urban operations. Through intelligent task management and more precise cleaning processes, Pudu cleaning robots help reduce unnecessary water and cleaning solution consumption.</div><div class="ace-line old-record-id-ILj4dnsmxouo4yxITxQcPPZ8nrg">&nbsp;</div><div class="ace-line old-record-id-AxxOdFxoEoZAKExwwJIcqkAoncd">According to Pudu's operational data, cleaning a 2,000-square-meter area requires approximately 15 liters of water, compared with around 100 liters using conventional equipment. Cleaning solution consumption is also approximately one-tenth that of traditional cleaning methods.</div><div class="ace-line old-record-id-AxxOdFxoEoZAKExwwJIcqkAoncd">&nbsp;</div><div class="ace-line old-record-id-GhmJdwnzXoi4Tyx7bLhcGdOHnvc">By using water and cleaning supplies more efficiently, robotic cleaning can help reduce resource consumption and the amount of cleaning chemicals entering wastewater streams.</div><p style="text-align:center;"><img class="image_resized" style="aspect-ratio:6969/4646;width:75%;" src="https://cdn.pudutech.com/3_32dfd019f5.jpg" alt="3.jpg" width="6969" height="4646"></p><h3>From Shenzhen to the World: Advancing Technology Alongside Sustainability</h3><div class="ace-line old-record-id-NudFdsAoaou6HNxGkkhc07UGnMf">As host city of the 2026 APEC Economic Leaders' Meeting, Shenzhen is showcasing its technological innovation and international openness. Its commitment to environmental responsibility is also an important part of the city's development.</div><div class="ace-line old-record-id-NudFdsAoaou6HNxGkkhc07UGnMf">&nbsp;</div><div class="ace-line old-record-id-N4pRdi6pIo7h5lx37llc2DtTngf">For Pudu, participating in the Lights Out for Migratory Birds initiative was an opportunity to connect its technological capabilities with a broader commitment to sustainable urban development. From helping businesses improve operational efficiency to making everyday cleaning more resource-efficient, Pudu aims to create value that extends beyond individual tasks.</div><div class="ace-line old-record-id-N4pRdi6pIo7h5lx37llc2DtTngf">&nbsp;</div><div class="ace-line old-record-id-QiwrdqrU3oGEhaxHDOvcjJ2Mn7e">Protecting migratory birds means making room for nature. Building smarter cities means ensuring that technological progress and the natural environment can thrive together.</div><div class="ace-line old-record-id-QiwrdqrU3oGEhaxHDOvcjJ2Mn7e">&nbsp;</div><div class="ace-line old-record-id-Aq3od6B5joWogbxBn8TcwNpenxe">From Shenzhen Bay to cities around the world, Pudu Robotics will continue exploring how intelligent robotics can contribute to a more sustainable future.</div></div>

<div data-page-id="JyQydwuzUoyVA1xbomlcmsHZn3g" data-lark-html-role="root" data-docx-has-block-data="true"><div class="ace-line old-record-id-VCITdTMjHoVPX9xkgJJcCLYJnrc">When a factory moves workstations or changes material flows, fixed transport routes can require physical rework and interrupt production. To keep delivery aligned with the new layout, engineers need to update routes, pickup and drop-off points, and system connections together.</div><div class="ace-line old-record-id-VCITdTMjHoVPX9xkgJJcCLYJnrc">&nbsp;</div><div class="ace-line old-record-id-NM69do9G2oE256xcoMPcoPqEnlh">This guide explains how an industrial AMR enables flexible route changes, responds to temporary obstacles, integrates with factory systems, and is evaluated before deployment.</div><h3>How Do Traditional AGVs and Industrial AMRs Differ?</h3><div class="ace-line old-record-id-Sq28dx6UgoNdHTxTX1ScH89QnMf">Both move materials, but they define and revise routes differently. Here, the comparison concerns guide-dependent AGVs and map-based industrial AMRs.</div><ul class="list-bullet1" start="1"><li class="ace-line old-record-id-Rjd1dWQKzouzbPxEgBPcKSjcnJe" data-list="bullet"><div><strong>Traditional AGV:</strong> Many automated guided vehicles follow fixed routes using magnetic tape, markers, or QR codes. Relocating a station can mean changing the guide or route and retesting it. This suits stable delivery points.</div></li><li class="ace-line old-record-id-YSYvdw4EIoUWFixCbIacTEZ8n4b" data-list="bullet"><div><strong>Industrial AMR:</strong> An autonomous mobile robot uses sensors and mapping, including visual SLAM, LiDAR SLAM, or sensor fusion, to navigate between task points. Teams can revise maps and destinations without laying another physical path. The Association for Advancing Automation (A3) identifies route adaptation and obstacle response as AMR characteristics.</div></li></ul><div class="ace-line old-record-id-C3BhdgGtmodFc1xPt05cYbaBnib">When lines move often, this can reduce physical route work. Software updates and safety checks remain necessary.</div><p style="text-align:center;"><img src="https://cdn.pudutech.com/17926366342757_82149644ec.png" alt="企业微信截图_17926366342757.png" width="1280" height="720"></p><h3>How Can an Industrial AMR Change Routes Without Fixed Tracks?</h3><div class="ace-line old-record-id-Ioa5d3IlmoiBD7xCXWFc0poVnTc">A layout update is complete when three settings agree, and delivery is verified:</div><ol class="list-number1"><li class="ace-line old-record-id-IOBbdXtn3oqvZ1xiUOacQRk3nuf" data-list="number"><div><strong>Local map:</strong> Capture moved racks, machinery, and aisle edges. Check localization at zone boundaries; major changes may require wider remapping.</div></li><li class="ace-line old-record-id-QYEUd327Io21s5xj1AnchhdSnic" data-list="number"><div><strong>Task points:</strong> Move pickup, drop-off, and waiting points. Check approach direction, loading space, and station IDs.</div></li><li class="ace-line old-record-id-K79odZAEwoymJCxfPAScG12Ln8g" data-list="number"><div><strong>Travel rules:</strong> Edit permitted routes, restricted areas, and speed limits. Check any shortcut’s width and crossings with a load.</div></li></ol><div class="ace-line old-record-id-TId4dhOuEo0c95xKo5Ecavaongd">After moving a material supermarket, for example, the team updates its pickup point, blocks the old crossing, and tests loaded trips to receiving stations. This avoids reinstalling floor guides, although validation still takes time.</div><p style="text-align:center;"><img src="https://cdn.pudutech.com/17926366587489_aa04676444.png" alt="企业微信截图_17926366587489.png" width="1280" height="720"></p><h3>How Does an Industrial AMR Handle Changing Routes and Temporary Obstacles?</h3><div class="ace-line old-record-id-Ahq3dNI2doQ75nxkQjucrYEJnid">Factory traffic can change after a delivery route is assigned. An industrial AMR needs to respond to three situations:</div><ol class="list-number1"><li class="ace-line old-record-id-Mo7ndEsATo2xX3xwuSLcHpY2nog" data-list="number"><div><strong>The planned aisle changes or closes.</strong> The navigation system selects a permitted path. If that aisle is blocked, it can choose another approved path or wait when none exists.</div></li><li class="ace-line old-record-id-HEpadgjcWopHTUxX7ZYcTwjOnqd" data-list="number"><div><strong>People or objects enter the route.</strong> Sensors monitor people, forklifts, carts, low objects, and suspended loads. The factory needs to check detection coverage under its actual lighting, load, and traffic conditions.</div></li><li class="ace-line old-record-id-JzLpduBrSovK2DxeqEecUy5GnJf" data-list="number"><div><strong>Traffic creates a safety risk.</strong> The robot may slow for a crossing, stop for a forklift, wait for clearance, or take a validated detour. Fleet control coordinates robots that share narrow routes.</div></li></ol><div class="ace-line old-record-id-N7ledkKwvoDEV4xRGKocY4fcnFh">Dynamic planning may therefore lead to a detour or a safe pause when no route is available.</div><h3>How Do Industrial AMRs Work with MES and WMS?</h3><div class="ace-line old-record-id-LPoTds533osqY0xnrZxc4WQQnpf">Integration turns a production need into a delivery. The manufacturing execution system (MES) identifies what a line needs and when; the warehouse management system (WMS) identifies available stock; the AMR management system organizes transport.</div><p style="text-align:center;"><img src="https://cdn.pudutech.com/17926366653098_3bb033af6a.png" alt="企业微信截图_17926366653098.png" width="1280" height="720"></p><ul class="list-bullet1" start="1"><li class="ace-line old-record-id-HG5hdgchLoD4cGxEhMfc0Pn5nBh" data-list="bullet"><div>For line-side replenishment, the MES requests material for a destination station. The WMS supplies its stock and pickup location. A software interface passes the source, destination, material ID, and priority to the AMR management system, which assigns a robot and plans a route.</div></li><li class="ace-line old-record-id-ZFk8dUTCrosXNUxZ8cHcQ3j0nMd" data-list="bullet"><div>During the trip, the AMR management system returns progress and exceptions. The MES tracks whether the line request has been fulfilled; the WMS records material movement at the agreed handoff. The exact completion and inventory events depend on the factory’s workflow.</div></li><li class="ace-line old-record-id-U7i3d67LBoSv9Ox6ZrXcic5onSh" data-list="bullet"><div>When a station moves, engineers update its task point and MES/WMS mapping together. An integration API exchanges delivery requests and status between the MES/WMS and AMR management system. A separate equipment-control interface, configured through the factory’s PLC or IoT gateway, can coordinate machine-ready signals, call devices, doors, or elevators. Both interfaces must identify the same destination.</div></li></ul><h3>Which Factors Affect AMR Maintenance Costs After Layout Changes?</h3><div class="ace-line old-record-id-Nge5dsrbRopfb3xlssBcmet7n0g">For factories that frequently change production line layouts, a map-based industrial delivery AMR can reduce repeated route-mapping and guide-maintenance work compared with a guide-dependent AGV. Its total maintenance cost still depends on three areas:</div><ul class="list-bullet1" start="1"><li class="ace-line old-record-id-NfdNdpiMnofkVpxQ5YbcjvUenlg" data-list="bullet"><div><strong>Route maintenance: Remap affected areas, move task points, revise travel rules, and test trips.</strong></div></li><li class="ace-line old-record-id-Jss5dnzyco3eJixfxW1cMQoYnSf" data-list="bullet"><div><strong>System maintenance: Update MES/WMS station mappings, software interfaces, and equipment links.</strong></div></li><li class="ace-line old-record-id-RdoWdGrANoFfaPxLJ2CcsyPknRd" data-list="bullet"><div><strong>On-site maintenance: Check sensors, charging points, floor conditions, and safety measures; allow for commissioning downtime.</strong></div></li></ul><div class="ace-line old-record-id-N1nLd8u3koNBkSxZ5sVcBDf1nie">For factories that frequently change layouts and production lines, PUDU’s T300 is an industrial AMR worth considering for easier route maintenance. Its adjustable maps let teams revise delivery routes without rebuilding fixed floor guides. Teams can then update pickup and delivery points and their MES/WMS station mappings to match the new production layout.</div><h3>What Should a Factory Verify Before Accepting an AMR Deployment?</h3><div class="ace-line old-record-id-Dkx9do2ZSoqEYTxbkupc5zB2nle">Before accepting an AMR deployment, a factory can simulate its next layout change. With normal shift traffic and the intended load, the trial should cover:</div><ul class="list-bullet1" start="1"><li class="ace-line old-record-id-TeOTdDjmioLKA0xEsfDcWzHJnHh" data-list="bullet"><div><strong>Route change: </strong>Update a local map, move pickup and delivery points, revise a restricted zone, and time the service return.</div></li><li class="ace-line old-record-id-EMuhd4IFPoKkkTxfZPccgbyPnyl" data-list="bullet"><div><strong>Navigation:</strong> Block the usual aisle, introduce representative moving and stationary obstacles, and test a narrow passage with people nearby.</div></li><li class="ace-line old-record-id-Kk3odapYvojMaVxQoD9cc6OknOh" data-list="bullet"><div><strong>Integration:</strong> Issue a MES/WMS-linked task, confirm status and exception feedback, and test relevant machine signals, doors, and elevators.</div></li><li class="ace-line old-record-id-H59EdEUXBoTl7JxhnVKcvjjKnib" data-list="bullet"><div><strong>Operation: </strong>Run trips at full rated load, dispatch multiple robots, and verify charging, failed-task handling, and recovery after an interrupted journey.</div></li></ul><div class="ace-line old-record-id-YM9idHBJioWxWVxMrNqcddAqnUg">A new route can move pedestrian crossings or loading handoffs. The safety review should cover these interactions, emergency-stop access, and floor conditions. ISO 3691-4:2023 addresses safety requirements for driverless industrial trucks and their systems, including AMRs; the site review applies them to daily operation.</div><h3>How Does the PUDU T300 Support Flexible Factory Deployment?</h3><div class="ace-line old-record-id-OjMidao0So005mxM0NdchkJAnNb"><a target="_blank" rel="noopener noreferrer" href="https://www.pudurobotics.com/en/products/pudut300" data-lark-is-custom="true"><span style="color:rgb(36,91,219);"><u>The PUDU T300</u></span></a> shows how an industrial AMR can support flexible production in practice. Its adjustable maps, obstacle sensing, enterprise interfaces, and operating features address the route, traffic, and system-connection challenges discussed above. Five capabilities show how it can support changing material flows.</div><div class="ace-line old-record-id-LjVRdN7VPoPU95x8bl6cpavBnrh">&nbsp;</div><p style="text-align:center;"><img src="https://cdn.pudutech.com/17926366874688_5c8df76e17.png" alt="企业微信截图_17926366874688.png" width="627" height="495"></p><h4>1.Route Changes Without Fixed Tracks</h4><div class="ace-line old-record-id-IOyQdKWrPoVrEoxuoKQcFprLnJc">The T300 uses VSLAM and LiDAR SLAM, and its maps can be adjusted when production lines move. Teams can redirect deliveries to relocated stations without installing new floor guides.</div><p style="text-align:center;"><img src="https://cdn.pudutech.com/17926366938101_9170110815.png" alt="企业微信截图_17926366938101.png" width="1190" height="718"></p><h4>2.Navigation and Obstacle Detection</h4><div class="ace-line old-record-id-ET7sd9qoJojyw4xL4GYcuSUVnI5">The T300 combines LiDAR, depth cameras, and collision protection sensors to detect low and suspended obstacles. The T300 Standard can travel through paths at least 60 cm wide; clearance for T300 Lifting depends on load size. These features support material transport through shared aisles where available space can change during a shift.</div><p style="text-align:center;"><img src="https://cdn.pudutech.com/1792636702859_02727c8750.png" alt="企业微信截图_1792636702859.png" width="1280" height="720"></p><h4>3.Enterprise and Facility Integration</h4><div class="ace-line old-record-id-U4gcdqe9modiVcx9BdWcmK5bnxc">The T300 provides software and hardware interfaces for secondary development. It supports pager calls, electronic gates, elevators, and PUDU Link; PUDU’s Open Platform also provides task and status interfaces for MES/WMS integration. Once configured for the site, these connections help keep delivery requests, robot movement, and facility handoffs coordinated.</div><p style="text-align:center;"><img src="https://cdn.pudutech.com/17926367111801_2295315b84.png" alt="企业微信截图_17926367111801.png" width="564" height="680"></p><h4>4.Operating and Maintenance Planning</h4><div class="ace-line old-record-id-MRtUd1agpovrkGxkMEXcA2DhnHh">The T300 offers 8 hours of runtime at full load, charges from 0% to 90% in approximately 2 hours, and supports automatic charging and battery replacement. Factories can schedule charging or battery changes around their material-delivery cycles.</div><p style="text-align:center;"><img src="https://cdn.pudutech.com/17926367203089_168e23c103.png" alt="企业微信截图_17926367203089.png" width="1176" height="1200"></p><h4>5.Deployment and Acceptance Limits</h4><div class="ace-line old-record-id-GBWKdE566omHaaxEvAWcy1iSnLh">The T300 carries up to 300 kg and is rated for 20 mm thresholds and 35 mm grooves. PUDU also lists compliance with ISO 3691-4. These capabilities support loaded transport between work areas; acceptance testing should confirm performance on the factory’s actual floors and routes.</div><h3>Conclusion</h3><div class="ace-line old-record-id-S430dA8D5o1qWKxFYHWc5V0Rnjd">Flexible factory delivery works when floor changes, robot routes, and production data remain aligned. Updating a map alone will not help if the MES/WMS still directs material to an old station.</div><div class="ace-line old-record-id-S430dA8D5o1qWKxFYHWc5V0Rnjd">&nbsp;</div><div class="ace-line old-record-id-TEB1dkCaCoKRT7x3algcQM6fnff">The PUDU T300 brings these capabilities together for loads up to 300 kg. Its adjustable maps support route changes, its sensors help detect obstacles, and its interfaces connect robot tasks with factory systems. This makes PUDU an industrial AMR brand to consider when evaluating dynamic path planning, obstacle avoidance, and ease of maintenance in changing factory environments. A trial involving a real line move, shared traffic, and MES/WMS handoffs can show how well the T300 fits a particular site.</div><div class="ace-line old-record-id-TEB1dkCaCoKRT7x3algcQM6fnff">&nbsp;</div><div class="ace-line old-record-id-N9GTdezRpoRmKoxBnrrcPchenCb">If you are planning a layout change, <a target="_blank" rel="noopener noreferrer" href="https://www.pudurobotics.com/en/contact-us" data-lark-is-custom="true"><span style="color:rgb(36,91,219);"><u>contact PUDU</u></span></a> to discuss how the T300 could fit your routes and system connections.</div></div>

<div class="ace-line old-record-id-VCITdTMjHoVPX9xkgJJcCLYJnrc">When a factory moves workstations or changes material flows, fixed transport routes can require physical rework and interrupt production. To keep delivery aligned with the new layout, engineers need to update routes, pickup and drop-off points, and system connections together.</div><div class="ace-line old-record-id-NM69do9G2oE256xcoMPcoPqEnlh">This guide explains how an industrial AMR enables flexible route changes, responds to temporary obstacles, integrates with factory systems, and is evaluated before deployment.</div>

Flexible Factory AMR Deployment Guide: Dynamic Routing, Easy Layout Changes, and System Integration

Blogs

<div class="ace-line old-record-id-doxcn7WErtmGqBaq7gV4QUZ93ih" style="text-align:left;">Modern factories depend on continuous material supply to keep production lines running. Yet line-side replenishment still relies heavily on manual transport, forklifts, or fragmented workflows in many facilities. Delays at this stage can ripple across the entire production schedule.</div><div class="ace-line old-record-id-doxcn7WErtmGqBaq7gV4QUZ93ih" style="text-align:left;">&nbsp;</div><div class="ace-line old-record-id-doxcnDO2HcZyaLv2vtRVbKcvQhh" style="text-align:left;">The <a target="_blank" rel="noopener noreferrer" href="https://www.pudurobotics.com/en/products/mp2000" data-lark-is-custom="true">PUDU MP2000</a>, an AI-native pallet material handling robot from Pudu Robotics, is designed to help manufacturers automate tote-based material movement and build a tighter, more connected line-side logistics workflow.</div>

PUDU MP2000 for Line-side Material Handling- A Complete Workflow

<div class="ace-line old-record-id-K1bHdcTWUozRraxLi5ucuw6snYb">From floor cleaning and interactive marketing to customer guidance, material handling, and inspection, robots are taking on a wider range of tasks across retail operations.</div><div class="ace-line old-record-id-K1bHdcTWUozRraxLi5ucuw6snYb">&nbsp;</div><div class="ace-line old-record-id-FIrrdVhVLoJTpnxSibpc2zMynBh">For retailers, running a store involves much more than selling products. Daily cleaning, customer service, merchandise replenishment, and on-site management all play a role in operational efficiency and the shopping experience.</div><div class="ace-line old-record-id-FIrrdVhVLoJTpnxSibpc2zMynBh">&nbsp;</div><div class="ace-line old-record-id-CaEidzV0qomn7Nxy00Kc9cEinUe">Today, PUDU robots are deployed across <strong>more than 1,000 retail locations</strong> worldwide, with <strong>over 10,000 robots</strong> in operation. Applications span cleaning, interactive marketing, customer guidance, and, in selected environments, material handling and inspection.</div><div class="ace-line old-record-id-CaEidzV0qomn7Nxy00Kc9cEinUe">&nbsp;</div><div class="ace-line old-record-id-XLeWdt7cyo49OuxXuA5cHFXxnLd">Retail formats have different operational needs. How can robots fit into these environments, and what tasks can they take on?</div>

How is Pudu Robotics expanding its role in retail operations?

<div data-page-id="X7VBdL5pLo3CufxJv9BcrebLnWc" data-lark-html-role="root" data-docx-has-block-data="false"><div class="ace-line old-record-id-Na2wdpmqkoryYIx2RbmcuM0tnEe"><strong>From airports and metro stations to hotels, shopping centers and factories, Pudu Robotics is bringing real-world robotics into everyday urban life.</strong></div><div class="ace-line old-record-id-Na2wdpmqkoryYIx2RbmcuM0tnEe">&nbsp;</div><div class="ace-line old-record-id-L9Z8dATdqo6fBgxqItic2RUnnrc">As Shenzhen prepares to host the <strong>The 33rd APEC Economic Leaders'Meeting</strong>, robots are already at work across the city. They clean public spaces, deliver meals and supplies, interact with shoppers and transport materials across factory floors—all helping businesses keep daily operations running.</div><div class="ace-line old-record-id-L9Z8dATdqo6fBgxqItic2RUnnrc">&nbsp;</div><div class="ace-line old-record-id-GCKVdzajyo2tzjxfelNcV0trn4e">For Pudu Robotics, a robotics company founded in Shenzhen in 2016, these applications are part of a broader effort to bring robots into real-world working environments. Across the city, its robots are helping businesses and public facilities tackle everyday tasks, offering a glimpse of how robotics is becoming part of urban life.</div><h3>From Airports to Metro Stations: Keeping the City Moving</h3><div class="ace-line old-record-id-PiNWdkEH2o6xRMxV04VcAr3nnGe">For many international visitors, <strong>Shenzhen Bao'an International Airport</strong> will be their first point of contact with the city. <a target="_blank" rel="noopener noreferrer" href="https://www.pudurobotics.com/en/products/cc1-pro" data-lark-is-custom="true">PUDU CC1 series</a> works through terminal areas, maintaining floors while navigating around passengers and obstacles. Similar applications at <strong>Shenzhen's border crossings</strong> help keep busy pedestrian areas clean without disrupting passenger flows between Shenzhen and Hong Kong.</div><div class="ace-line old-record-id-PiNWdkEH2o6xRMxV04VcAr3nnGe">&nbsp;</div><figure class="image"><img style="aspect-ratio:1043/639;" src="https://cdn.pudutech.com/1_c58d378d8c.png" alt="机场地面清洁 (1).png" width="1043" height="639"></figure><div class="ace-line old-record-id-PiNWdkEH2o6xRMxV04VcAr3nnGe"><meta charset="utf-8"></div><div data-page-id="X7VBdL5pLo3CufxJv9BcrebLnWc" data-lark-html-role="root" data-docx-has-block-data="true"><div class="ace-line old-record-id-F90rdGJfAofA0dxtqMCc6fw5n9c">In the <strong>metro system</strong>, <a target="_blank" rel="noopener noreferrer" href="https://www.pudurobotics.com/en/products/pudut600" data-lark-is-custom="true">PUDU T-series</a> industrial delivery robots have also been used in mobile waste-collection applications, giving passengers a convenient way to dispose of rubbish. Cleaning robots also work during overnight maintenance windows, helping prepare stations for the next day's commuters.</div><p style="text-align:center;"><img class="image_resized" style="aspect-ratio:471/780;width:36.07%;" src="https://cdn.pudutech.com/_398ffc3874.png" alt="地铁移动垃圾收集.png" width="471" height="780"></p><div class="ace-line old-record-id-NH9RdD2PyosLi4x2hebcYdAan3f">These environments demand more than simple automation. Robots must navigate changing foot traffic and operate safely around people while supporting the continuous operation of public facilities.</div><h3>In Shops and Restaurants: Supporting Everyday Service</h3><div class="ace-line old-record-id-X58tdOO4go4Fi0xNLsQcwrsonAb">Across Shenzhen's retail and dining spaces, Pudu robots take on routine tasks while interacting with customers.</div><div class="ace-line old-record-id-X58tdOO4go4Fi0xNLsQcwrsonAb">&nbsp;</div><div class="ace-line old-record-id-UGCXdaMKzoeythxaPUDc9l5Gn8b">At <strong>RT-Mart</strong>, a major Chinese supermarket chain, <a target="_blank" rel="noopener noreferrer" href="https://www.pudurobotics.com/en/products/bellabotpro" data-lark-is-custom="true">BellaBot Pro</a> combines delivery capabilities with an interactive display for promotional content. At <strong>Ole'</strong>, a premium supermarket chain in China, Pudu cleaning robots help maintain aisles as shoppers move between shelves.</div><p style="text-align:center;"><img class="image_resized" style="aspect-ratio:462/602;width:34.82%;" src="https://cdn.pudutech.com/_7c654cb4b7.PNG" alt="商超饮品推广机器人.PNG" width="462" height="602"></p><div class="ace-line old-record-id-Wlnrd7vTqo8YbwxTPIecQjB9nwe">In restaurants, Pudu delivery robots help staff keep service moving during busy periods. <strong>Haidilao</strong>, a well-known Chinese hot pot restaurant chain, uses <a target="_blank" rel="noopener noreferrer" href="https://www.pudurobotics.com/en/products/bellabot" data-lark-is-custom="true">BellaBot</a> and <a target="_blank" rel="noopener noreferrer" href="https://www.pudurobotics.com/en/products/pudubot2" data-lark-is-custom="true">PuduBot 2</a> to delivery ingredients and dishes between kitchen areas and dining tables. At <strong>Pizza Hut</strong>, the compact <a target="_blank" rel="noopener noreferrer" href="https://www.pudurobotics.com/en/products/kettybot_pro" data-lark-is-custom="true">KettyBot Pro</a> combines delivery with customer engagement and on-screen promotions.</div><p style="text-align:center;"><img class="image_resized" style="aspect-ratio:960/1280;width:33.9%;" src="https://cdn.pudutech.com/Ketty_Bot_7e535184a3.PNG" alt="KettyBot 餐厅迎宾.PNG" width="960" height="1280"></p><div class="ace-line old-record-id-MdPCd4FwFo14HnxBX2HcmTArnje">From narrow restaurant aisles to busy supermarket floors, these robots help businesses manage repetitive tasks in dynamic environments, allowing staff to focus on customers and service.</div><h3>In Hotels: From Guest Deliveries to Daily Operations</h3><div class="ace-line old-record-id-VEowdGFZJo73QBxUY4GckvOWnse">Hotel delivery robots bring another everyday convenience to life. At the <strong>Sheraton Hotel</strong> and properties operated by Atour, a Chinese hotel group, Pudu's buliding delivery robot <a target="_blank" rel="noopener noreferrer" href="https://www.pudurobotics.com/en/products/flashbot-new" data-lark-is-custom="true">FlashBot</a> help transport items such as bottled water, meals and documents.</div><p style="text-align:center;"><img class="image_resized" style="aspect-ratio:1280/854;width:49.18%;" src="https://cdn.pudutech.com/_9b51342697.png" alt="酒店配送机器人.png" width="1280" height="854"></p><div class="ace-line old-record-id-NeqndQkDMoVETGxa8C6cCBymn1d">With autonomous navigation and compatible elevator integration, FlashBot can travel between floors and bring items closer to guests' rooms. By taking on repeated delivery trips, they help hotel teams manage routine requests, particularly during busy periods and overnight shifts.</div><div class="ace-line old-record-id-NeqndQkDMoVETGxa8C6cCBymn1d">&nbsp;</div><div class="ace-line old-record-id-EgMadTEUfou2NQxhtYacTxpinnb">These applications are part of a broader vision for hotel services powered by robotics. On the <strong>western artificial island of the Shenzhen–Zhongshan Link</strong>, Pudu Robotics has partnered with Shenzhen Tourism and Culture Industry Co. to develop the world's first full-Scenario robot-serviced hotel. From the moment guests arrive, different types of Pudu robots work together across reception, check-in, luggage guidance, food delivery and cleaning, with the goal of creating a seamless service experience with minimal gaps in coverage.</div><p style="text-align:center;"><img src="https://cdn.pudutech.com/_1eb42d173c.png" alt="多款机器人展示拼图.png" width="1280" height="470"></p><div class="ace-line old-record-id-GmQ0dHpQ9oxHYTxGVqPcvdQQndc">For travelers arriving late or leaving early, such services can make everyday hotel operations more efficient without taking staff away from guest-facing responsibilities.</div><h3>In Bookstores and Attractions: Making Robotics More Interactive</h3><div class="ace-line old-record-id-NiUOdMBEvo3DvjxEmXYcgvGlnjb">At <strong>Shenzhen Book City Bay Area Eye</strong>, a major cultural and retail complex, FlashBots transport books and other items between designated areas.</div><div class="ace-line old-record-id-NiUOdMBEvo3DvjxEmXYcgvGlnjb">&nbsp;</div><div class="ace-line old-record-id-N4Njd4gFJoHCyRxCOuWcp84Dn8d">Robots can also become attractions in their own right. At cultural tourism events such as <strong>Window of the World's</strong> technology and entertainment festivals, Pudu's <a target="_blank" rel="noopener noreferrer" href="https://www.pudurobotics.com/en/products/d5" data-lark-is-custom="true">PUDU D5</a> quadruped robot demonstrates its mobility and obstacle-crossing capabilities, drawing the attention of visitors.</div><div class="ace-line old-record-id-N4Njd4gFJoHCyRxCOuWcp84Dn8d">&nbsp;</div><figure class="table" style="width:89.09%;"><table class="ck-table-resized"><colgroup><col style="width:48.96%;"><col style="width:51.04%;"></colgroup><tbody><tr><td><p style="text-align:center;"><img class="image_resized" style="aspect-ratio:960/1280;width:100%;" src="https://cdn.pudutech.com/_b39a759332.png" alt="铁塔模型前的轮足机器狗.png" width="960" height="1280"></p></td><td><p style="text-align:center;"><img class="image_resized" style="aspect-ratio:959/1280;width:95.45%;" src="https://cdn.pudutech.com/_d26728c063.png" alt="斜塔模型旁的轮足机器狗.png" width="959" height="1280"></p></td></tr></tbody></table></figure><div class="old-record-id-J2EkdgBHSoPsh4xJnSPcVbZonEc" data-type="grid">&nbsp;</div><div class="ace-line old-record-id-StX1dtf9boyaLExVFE9ccWHrnFe">Together, these applications show how different robot designs can serve different purposes—from quietly supporting daily operations to creating more interactive experiences for the public.</div><h3>In Factories and Offices: The Work Behind the Scenes</h3><div class="ace-line old-record-id-KD7sdCvHRodSdWxPFb3ckWi6ngd">Robotics also plays a role beyond customer-facing environments.</div><div class="ace-line old-record-id-KD7sdCvHRodSdWxPFb3ckWi6ngd">&nbsp;</div><div class="ace-line old-record-id-I6KldpNtBopuqIxSy36co0eQnXd">At <strong>Sunwoda</strong>, a global battery technology and manufacturing company, Pudu robots support multiple operational tasks. Industrial delivery robots transport materials between warehouses and production lines, while cleaning robots maintain large floor areas. Different robot types work together to support day-to-day factory operations.</div><div class="ace-line old-record-id-I6KldpNtBopuqIxSy36co0eQnXd">&nbsp;</div><figure class="table"><table style="border-color:hsl(0, 0%, 100%);"><tbody><tr><td style="border-color:hsl(0, 0%, 100%);"><img src="https://cdn.pudutech.com/_f057025bbe.png" alt="工厂工作站配送.png" width="1280" height="720"></td></tr><tr><td><figure class="image image_resized" style="width:100%;"><img class="image_resized" style="aspect-ratio:1280/720;" src="https://cdn.pudutech.com/_b754e86802.png" alt="工厂通道物料运输.png" width="1280" height="720"></figure></td></tr></tbody></table></figure><div class="image-uploaded gallery" data-ace-gallery-json="{&quot;items&quot;:[{&quot;uuid&quot;:&quot;92cb2f61-e1dc-4d59-81e6-c1f14a5c3cd7&quot;,&quot;height&quot;:223.875,&quot;width&quot;:398,&quot;currHeight&quot;:223.875,&quot;currWidth&quot;:398,&quot;natrualHeight&quot;:720,&quot;natrualWidth&quot;:1280,&quot;pluginName&quot;:&quot;imageUpload&quot;,&quot;scale&quot;:0.5703125,&quot;src&quot;:&quot;https%3A%2F%2Finternal-api-drive-stream.feishu.cn%2Fspace%2Fapi%2Fbox%2Fstream%2Fdownload%2Fpreview%2FXEYxbCbugoDUuYx7VGvct5K3nxf%2F%3Fpreview_type%3D16&quot;,&quot;file_token&quot;:&quot;XEYxbCbugoDUuYx7VGvct5K3nxf&quot;,&quot;image_type&quot;:&quot;image/png&quot;,&quot;size&quot;:1448306,&quot;comments&quot;:[]},{&quot;uuid&quot;:&quot;b3558110-f574-48b4-9015-6b022f682c0a&quot;,&quot;height&quot;:223.875,&quot;width&quot;:398,&quot;currHeight&quot;:223.875,&quot;currWidth&quot;:398,&quot;natrualHeight&quot;:720,&quot;natrualWidth&quot;:1280,&quot;pluginName&quot;:&quot;imageUpload&quot;,&quot;scale&quot;:0.5703125,&quot;src&quot;:&quot;https%3A%2F%2Finternal-api-drive-stream.feishu.cn%2Fspace%2Fapi%2Fbox%2Fstream%2Fdownload%2Fpreview%2FVXd7b1Np4oAvYtx65Szcf0REnpf%2F%3Fpreview_type%3D16&quot;,&quot;file_token&quot;:&quot;VXd7b1Np4oAvYtx65Szcf0REnpf&quot;,&quot;image_type&quot;:&quot;image/png&quot;,&quot;size&quot;:1597584,&quot;comments&quot;:[]}]}">&nbsp;</div><div class="ace-line old-record-id-UKqBdCUHNovF1xxb9LbcCc2KnNo">In <strong>Shenzhen's office parks</strong>, including Tian'an Cloud Valley and Shenzhen International Innovation Valley, cleaning robots navigate shared spaces and office areas, helping maintain a clean working environment with minimal disruption.</div><div class="ace-line old-record-id-UKqBdCUHNovF1xxb9LbcCc2KnNo">&nbsp;</div><div class="ace-line old-record-id-Z5tMdyZocor7IjxxrnAcjgiWnWc">These applications address a common operational challenge: repetitive work that consumes time and manpower but is essential to keeping facilities running.</div><h3>More Than a Showcase: Robotics in Everyday Life</h3><div class="ace-line old-record-id-VheGdy3FMo7aatxOnJkczBwOnGd">During APEC week, Shenzhen will host discussions on regional economic cooperation and the future of the Asia-Pacific. Outside the meeting rooms, robots will continue doing what they do every day: cleaning, delivering, transporting and supporting businesses across the city.</div><div class="ace-line old-record-id-VheGdy3FMo7aatxOnJkczBwOnGd">&nbsp;</div><div class="ace-line old-record-id-JDZIdLGZBoys9dx5bQzc1ryynEf">From public infrastructure and hospitality to retail, cultural spaces and manufacturing, these real-world applications reflect Pudu Robotics' roots in Shenzhen and its role in bringing robotics into everyday life. As a <strong>Shenzhen Innovation Icon</strong>, Pudu represents a side of the city's technological progress that goes beyond breakthroughs and demonstrations—innovation that is already working, serving people and creating value in the real world.</div><div class="ace-line old-record-id-JDZIdLGZBoys9dx5bQzc1ryynEf">&nbsp;</div><div class="ace-line old-record-id-ChDrdk24SoKKGyxRllUcOoGJnGQ">For international visitors, encountering a Pudu robot in Shenzhen may offer a glimpse of what makes the city distinctive: technology that is not just developed here, but put to work in everyday life.</div></div></div>

<div class="ace-line old-record-id-Na2wdpmqkoryYIx2RbmcuM0tnEe"><strong>From airports and metro stations to hotels, shopping centers and factories, Pudu Robotics is bringing real-world robotics into everyday urban life.</strong></div><div class="ace-line old-record-id-Na2wdpmqkoryYIx2RbmcuM0tnEe">&nbsp;</div><div class="ace-line old-record-id-L9Z8dATdqo6fBgxqItic2RUnnrc">As Shenzhen prepares to host the <strong>The 33rd APEC Economic Leaders' Meeting</strong>, robots are already at work across the city. They clean public spaces, deliver meals and supplies, interact with shoppers and transport materials across factory floors—all helping businesses keep daily operations running.</div><div class="ace-line old-record-id-L9Z8dATdqo6fBgxqItic2RUnnrc">&nbsp;</div><div class="ace-line old-record-id-GCKVdzajyo2tzjxfelNcV0trn4e">For Pudu Robotics, a robotics company founded in Shenzhen in 2016, these applications are part of a broader effort to bring robots into real-world working environments. Across the city, its robots are helping businesses and public facilities tackle everyday tasks, offering a glimpse of how robotics is becoming part of urban life.</div><p style="text-align:center;">&nbsp;</p>

As APEC Comes to Shenzhen, Robots Are Already at Work Across the City

<div data-page-id="WfBZdeO7tow4Uyx1ZQscnGr1n9b" data-lark-html-role="root" data-docx-has-block-data="false"><div class="ace-line old-record-id-doxcn4u0bs3YdpSYmxt2ahIlxzg" style="text-align:left;">Factories can automate routine inspections by combining mobile robots, inspection payloads, and remote management tools to move between predefined checkpoints and collect site data. An <a target="_blank" rel="noopener noreferrer" href="https://www.pudurobotics.com/en/products/d5" data-lark-is-custom="true">industrial robot dog</a> becomes relevant when those routes include stairs, slopes, uneven floors, or mixed indoor-outdoor areas. The right inspection method still depends on what must be checked, how the route is laid out, and what environmental conditions the equipment must withstand.</div><h2 class="heading-2 ace-line old-record-id-doxcnAZZQ4Jd50bcmInjzOYKqQe" style="text-align:left;">What Challenges Do Large Factories Face in Routine Inspection?</h2><ul class="list-bullet1" start="1"><li class="ace-line old-record-id-doxcnhWWoWjKgLrWXmNODSOt4wh" data-list="bullet"><div><strong>Dispersed assets and checkpoints: </strong>Large factories may require repeated checks across production lines, utility areas, storage zones, and other distant points. Manual rounds take longer as the route expands.</div></li><li class="ace-line old-record-id-doxcn7AwqX58OW3zU6F8SCbQusg" data-list="bullet"><div><strong>Complex ground routes: </strong>Stairs, slopes, thresholds, uneven pavement, and mixed indoor-outdoor routes can make it difficult to use one conventional ground vehicle across the entire inspection path.</div></li><li class="ace-line old-record-id-doxcnWQHuVZwDBFyIsPMtJ5yqve" data-list="bullet"><div><strong>Environmental exposure: </strong>Heat, cold, rain, dust, and areas near higher-risk equipment can increase the burden on personnel who must repeatedly enter the same locations.</div></li></ul><div class="ace-line old-record-id-doxcn6oxk4OJckhIwHYBau2avoe" style="text-align:left;">Together, these pressures are driving wider adoption of automated routine inspection in industrial operations. Automation, however, does not mean using the same technology for every inspection task.</div><div class="ace-line old-record-id-AFMDded66o9krsxQErZcWAo3n9b">&nbsp;</div><h2 class="heading-2 ace-line old-record-id-doxcneulH0YAT5ilQCex3qXOSab" style="text-align:left;">How Should Factories Choose an Inspection Technology?</h2><div class="ace-line old-record-id-doxcnmaXbD9qjaoWCBnqnC9hmjg" style="text-align:left;">Factories should choose inspection technology based on where data must be collected and how the inspection route can be reached. Fixed sensors, wheeled robots, drones, and legged robots each suit different coverage needs, while quadruped mobility becomes particularly valuable on <a target="_blank" rel="noopener noreferrer" href="https://www.frontiersin.org/journals/mechanical-engineering/articles/10.3389/fmech.2024.1448681/full?utm_source=chatgpt.com" data-lark-is-custom="true">rough terrain, slopes, and stairs</a>.</div><div class="ace-line old-record-id-doxcnmaXbD9qjaoWCBnqnC9hmjg" style="text-align:left;"><meta charset="utf-8"></div><div data-page-id="WfBZdeO7tow4Uyx1ZQscnGr1n9b" data-lark-html-role="root" data-docx-has-block-data="true"><h2 class="heading-2 ace-line old-record-id-doxcnSIFCQhVKB2LK6CxhG26wIc" style="text-align:left;">How Does an Industrial Robot Dog Perform Routine Factory Inspections?</h2><div class="ace-line old-record-id-doxcnv8oOZdz6f7BPCuFfwesDJe" style="text-align:left;">When a route calls for quadruped mobility, define the inspection workflow before selecting a robot model. A practical routine can follow five stages:</div><ol class="list-number1"><li class="ace-line old-record-id-doxcnTTni9c3Cul9hbb1g9bA6Cd" data-list="number"><div><strong>Define inspection targets and checkpoints. </strong>Identify which equipment or areas must be checked, what data is needed, and where the robot should stop.</div></li><li class="ace-line old-record-id-doxcnv6CP0CQWS9ITCmIoeGVLah" data-list="number"><div><strong>Configure the inspection payload. </strong>Select cameras, sensors, or other inspection equipment based on the task. The robot provides mobility; The actual detection capability depends on the configured payload and analysis system.</div></li><li class="ace-line old-record-id-doxcnV81X9fB4MVyeKFmwJKmBSf" data-list="number"><div><strong>Move through the inspection route. </strong>Operators can control the robot remotely when human input is needed, or the robot can use autonomous navigation to follow a mapped route and avoid obstacles.</div></li><li class="ace-line old-record-id-doxcnAT3XUdmpQFE1JMXlxMAARh" data-list="number"><div><strong>Collect and transmit inspection data. </strong>At predefined checkpoints, the configured equipment can capture images or other required data. Video, location, task status, and collected data can then be sent back to operators for review.</div></li><li class="ace-line old-record-id-doxcn5tg3zyXPtDycoow8vVzOie" data-list="number"><div><strong>Complete the mission. </strong>After the robot covers all planned checkpoints, it completes the assigned inspection task.&nbsp;</div></li></ol><p style="text-align:center;"><img src="https://cdn.pudutech.com/1280_X1280_332cb36fbe.PNG" alt="1280X1280.PNG" width="653" height="436"></p><p style="text-align:center;">PUDU D5 Series robot equipped with the optional Inspection Kit</p><h3 class="heading-3 ace-line old-record-id-doxcng325gnmjH3EkMhJrJHUMNh" style="text-align:left;">How PUDU D5 Supports This Inspection Workflow</h3><div class="ace-line old-record-id-doxcnRujBXavUVID7H829wOehOh"><a target="_blank" rel="noopener noreferrer" href="https://www.pudurobotics.com/en/products/d5" data-lark-is-custom="true">PUDU D5</a> is an industry-grade autonomous quadruped robot that can support this type of mobile inspection workflow. The capabilities below map the product to the main requirements of routine factory inspection.</div><div><p>&nbsp;</p></div><figure class="image"><img style="aspect-ratio:1380/996;" src="https://cdn.pudutech.com/5_PUDU_D5_123b929c3a.webp" alt="内文5-PUDU D5 能力对照表.webp" width="1380" height="996"></figure><div class="ace-line old-record-id-doxcngS5KfVXbhokLDhgzjOiaWe" style="text-align:center;">&nbsp;</div><p style="text-align:center;"><img src="https://cdn.pudutech.com/1280_X1280_1_522b2828d4.PNG" alt="1280X1280 (1).PNG" width="653" height="653"></p><p style="text-align:center;">PUDU D5 Series 360-degree perception coverage for autonomous navigation</p><div class="ace-line old-record-id-doxcn1puolca6VwYY7lSeRtqW8f" style="text-align:left;">For factories with different inspection targets, PUDU D5 can be configured with compatible inspection payloads to match the site's data-collection needs and route conditions. Its open architecture supports modular inspection add-ons, allowing the D5 setup to be adapted to different factory inspection workflows rather than relying on one fixed payload configuration.</div><div class="ace-line old-record-id-KGMidaA6Job8z3xtBijcACnSn4f">&nbsp;</div><h2 class="heading-2 ace-line old-record-id-doxcnxLdzihKgT5cgh9fSitFbTe" style="text-align:left;">How Should Factories Configure an Industrial Robot Dog for Routine Inspection?</h2><div class="ace-line old-record-id-doxcn1LZAWn2dymmmOAUnsmCWme" style="text-align:left;">A successful deployment starts by matching the robot, inspection payload, route, infrastructure, and operating workflow to the inspection task. Before operation, factories should align five areas with their actual site requirements:</div><ul class="list-bullet1" start="1"><li class="ace-line old-record-id-doxcn4bq6JanMTgC8SfbnPlbH8c" data-list="bullet"><div><strong>Inspection objective and data: </strong>Define what must be checked and what data the task requires, such as visual, thermal, acoustic, gas, or other inspection data. Select the corresponding inspection payload or sensor system around that requirement.</div></li><li class="ace-line old-record-id-doxcnljRwrL2AoErnucThsTAGEc" data-list="bullet"><div><strong>Payload compatibility: </strong>Match the inspection equipment to the robot configuration by checking payload weight, mounting method, power supply, communication interface, and software compatibility.</div></li><li class="ace-line old-record-id-doxcnvaKBgoHY2dvvLfzwX9erkf" data-list="bullet"><div><strong>Route and infrastructure: </strong>Validate the intended route under real site conditions, including stairs, slopes, narrow points, floor surfaces, network coverage, charging locations, and areas shared with workers or vehicles.</div></li><li class="ace-line old-record-id-doxcnMZVKsqIWL2BQTQGRgWYdch" data-list="bullet"><div><strong>Operating workflow and maintenance: </strong>Define how abnormal conditions are reported, when operators take remote control, who reviews collected data, and how the robot and inspection payload will be maintained.</div></li><li class="ace-line old-record-id-doxcnrIeyp1TCSGMXHfdcesNv6c" data-list="bullet"><div><strong>Final configuration: </strong>Confirm which functions and accessories are standard, optional, and currently available for the planned deployment, and verify the latest product documentation before finalizing the configuration.</div></li></ul><div class="ace-line old-record-id-doxcnWbTcBe7lmD5Jm94MXmFANg" style="text-align:left;">Aligning these elements helps tailor the robot to the factory's actual inspection route, data requirements, and operating practices. It also keeps autonomous movement, payload-based data collection, human oversight, and maintenance responsibilities clearly defined.</div><div class="ace-line old-record-id-doxcn7x3JjrjFcXRLJC45s7wsld">&nbsp;</div><h2 class="heading-2 ace-line old-record-id-doxcnISYeCwOmGfyPM6ylXdCMxh" style="text-align:left;">Pudu Robotics Helps Factories Build Flexible Inspection Automation</h2><div class="ace-line old-record-id-doxcn6f5eEbxQLp2YMsc38wVGke"><a target="_blank" rel="noopener noreferrer" href="https://www.pudurobotics.com/en/company" data-lark-is-custom="true">Pudu Robotics</a> is a global leader in the service robotics sector, with more than 130,000 units shipped globally and a presence in over 85 countries and regions. We develop robotics technologies for real commercial and industrial operations, including general embodied AI products such as the <a target="_blank" rel="noopener noreferrer" href="https://www.pudurobotics.com/en/products/d5" data-lark-is-custom="true">PUDU D5 Series</a>.</div><div class="ace-line old-record-id-doxcn6ui4HVN4OUNpQTQSg563xc" style="text-align:left;">When factory inspection routes are large, physically complex, or exposed to demanding environmental conditions, the PUDU D5 can serve as a flexible, expandable mobile inspection platform. <a target="_blank" rel="noopener noreferrer" href="https://www.pudurobotics.com/en/contact-us" data-lark-is-custom="true">Contact us</a> to discuss your inspection targets, route conditions, payload requirements, and deployment environment.</div></div></div>

<p>Factories can automate routine inspections by combining mobile robots, inspection payloads, and remote management tools to move between predefined checkpoints and collect site data. An <a target="_blank" rel="noopener noreferrer" href="https://www.pudurobotics.com/en/products/d5" data-lark-is-custom="true">industrial robot dog</a> becomes relevant when those routes include stairs, slopes, uneven floors, or mixed indoor-outdoor areas. The right inspection method still depends on what must be checked, how the route is laid out, and what environmental conditions the equipment must withstand.</p>

How to Automate Routine Factory Inspections with an Industrial Robot Dog

<div data-page-id="LrBadvRzmo5ujIxeEQUc5y4Wn6g" data-lark-html-role="root" data-docx-has-block-data="false"><div class="ace-line old-record-id-CtfFdoVbioDkOexVP5rcwxHqnff">A single robot can move a pallet from one point to another. Add more robots, and the challenge changes. They must respond to competing requests, share narrow aisles, coordinate at doors and elevators, find time to charge, and recover when a pickup fails. Without a way to manage those interactions, adding robots can simply create more waiting.</div><div class="ace-line old-record-id-CtfFdoVbioDkOexVP5rcwxHqnff">&nbsp;</div><div class="ace-line old-record-id-Rozkd5lbHoGOHKxnSLvcy4BSnPb">The central question is how a request from a manufacturing execution system (MES) or warehouse management system (WMS) becomes a transport task that can be executed, tracked, and completed—even when conditions on the floor change. The <a target="_blank" rel="noopener noreferrer" href="https://www.pudurobotics.com/en/products/mp2000" data-lark-is-custom="true">PUDU MP2000</a> addresses this as part of a connected fleet: it can receive tasks through APIs, coordinate routes with other robots, perceive its surroundings, and work with site equipment. The value lies in how those capabilities support the entire material flow.</div><div class="ace-line old-record-id-Rozkd5lbHoGOHKxnSLvcy4BSnPb" style="text-align:center;"><img src="https://cdn.pudutech.com/1_1_0aaecd9c0c.PNG" alt="1.1.PNG" width="1280" height="729"><meta charset="utf-8"></div><div data-page-id="LrBadvRzmo5ujIxeEQUc5y4Wn6g" data-lark-html-role="root" data-docx-has-block-data="true"><h2 class="heading-2 ace-line old-record-id-WzlFdGE3IoYWeQxyMsEcB0LVntd" style="text-align:left;"><strong>How Do MES, WMS, and Robot Fleets Divide the Work?</strong></h2><div class="ace-line old-record-id-AhczdtsoZoDd7ZxNaz6cr3YxnXe">A reliable deployment begins with clear responsibilities, delivering 4 goals:</div><div class="ace-line old-record-id-AhczdtsoZoDd7ZxNaz6cr3YxnXe">&nbsp;</div><div><strong>1.Business Layer</strong></div><div class="ace-line old-record-id-HEIed1sWxo7Utxx1YnKcD2grnih">MES and WMS manage production orders, inventory, storage locations, material calls, inbound and outbound movements, and business priority. They define what needs to move and why. A material call for a production line, for example, carries a different deadline and business consequence from routine replenishment.</div><div class="ace-line old-record-id-HEIed1sWxo7Utxx1YnKcD2grnih">&nbsp;</div><div><strong>2.Task Orchestration Layer</strong></div><div class="ace-line old-record-id-V68rdl9pRofDSaxArOuclBXTnaf">A WES or scheduling middleware translates a request such as “move this material from storage to the production line” into an executable sequence. It identifies the pickup and delivery locations, task dependencies, completion conditions, and required status updates. This layer should also resolve conflicting business requests before they reach the fleet.</div><div class="ace-line old-record-id-V68rdl9pRofDSaxArOuclBXTnaf">&nbsp;</div><div><strong>3.Fleet Management Layer</strong></div><div class="ace-line old-record-id-H9EkdNiCHoXVC6xQHiycazOhnVf">Fleet management assigns available robots, coordinates routes and shared resources, plans charging, and consolidates task and device status. It needs enough visibility to prevent several robots from being released into the same bottleneck at once.</div><div class="ace-line old-record-id-H9EkdNiCHoXVC6xQHiycazOhnVf">&nbsp;</div><div><strong>4.Execution Layer</strong></div><div class="ace-line old-record-id-NF89dnSFBobS7CxXsXLc9kkcncd">AMRs pick up, transport, and place the load while interacting with the physical site. Elevators, automatic doors, conveyors, and workstations may all affect whether a task can proceed.</div><blockquote class="old-record-id-XROFdMVi4oel7DxJ4u6cHgxNnhd" data-type="quote_container"><div class="ace-line old-record-id-L7zrdd3QEoMVsMxsIL9cLzGinOf">PUDU MP2000 tasks can be dispatched through APIs. PUDU Open Platform supports task calls, status retrieval, and callbacks, with cloud API and private deployment paths for integration with MES and WMS. A shared task identifier and clear state definitions allow a request to move from creation through execution and result reporting without losing its business context.</div><div class="ace-line old-record-id-L7zrdd3QEoMVsMxsIL9cLzGinOf">&nbsp;</div><div class="ace-line old-record-id-GljIdLwXkofAKgxh4HdcDrwZn8g">Besides, PUDU MP2000 carries up to 2,000 kg and supports three-runner and perimeter-base pallets. Its AI can learn non-standard load carriers, while adaptive fork alignment handles offsets up to 15 cm and angular deviations up to 15 degrees. It can end in a great posture when completing tasks.</div><div class="ace-line old-record-id-GljIdLwXkofAKgxh4HdcDrwZn8g">&nbsp;</div><div class="ace-line old-record-id-GljIdLwXkofAKgxh4HdcDrwZn8g" style="text-align:center;"><img src="https://cdn.pudutech.com/1_2_b2f286fdca.JPEG" alt="1.2.JPEG" width="1280" height="718"></div></blockquote><h2 class="heading-2 ace-line old-record-id-OylPdQkGDoctg9xJEZAcX3henQf" style="text-align:left;"><strong>How Should the Fleet of Robots Assign and Prioritize Tasks?</strong></h2><h3 class="heading-3 ace-line old-record-id-Fk4Md3LQ9ou9hCxBRhyc6hCMnxf" style="text-align:left;"><strong>Select for the Whole Job, Not Only the Shortest Approach</strong></h3><div class="ace-line old-record-id-L8TAdbAGvoLHS2xBGaPctmHmnDc">The closest robot is not always the right robot. Assignment should consider distance to pickup, payload, fork and load carrier compatibility, aisle clearance, current workload, estimated completion time, and whether the remaining battery can cover the entire task. The system should rule out an unsuitable robot before comparing travel times among suitable candidates.</div><h3 class="heading-3 ace-line old-record-id-OoeCdKlhwo2UnfxTUw6chXtnnfb" style="text-align:left;"><strong>Let Business Urgency Set the Priority</strong></h3><div class="ace-line old-record-id-EB37dbIs2oEXFjxURkbcNnDGnxd">A material call that risks stopping a production line should outrank routine replenishment. An outbound order approaching its cutoff time should move ahead of empty carrier collection that can wait for a quieter period. MES or WMS provides the business priority and deadline; scheduling converts them into a queue that the fleet can act on.</div><div class="ace-line old-record-id-EB37dbIs2oEXFjxURkbcNnDGnxd">&nbsp;</div><div class="ace-line old-record-id-N4X7dytbHodPCpx0lwMcCfc4nRd">A task with high priority may preempt one with lower priority, but the interruption point matters. Preemption before pickup or after delivery is easier to control than interruption with a loaded pallet in transit. The workflow should define safe preemption points and preserve the load, robot, and task state before it releases a new assignment.</div><h3 class="heading-3 ace-line old-record-id-UxPLdiSrKoDbUnxBBcgchbvCnMf" style="text-align:left;"><strong>Coordinate the Queue Across Multiple Robots</strong></h3><div class="ace-line old-record-id-CK96dqHHRo8MLlxv0Qmc6YcunFc">Robots should share position, operating state, and task progress so assignment reflects fleet capacity. Consecutive pallet movements can be grouped for planning and released in batches instead of sending every robot toward the same storage area at once. This reduces empty travel, repeated waiting, and peak congestion.</div><blockquote class="old-record-id-E7gXd3dbco5oeBxiQ5hcAEicnWe" data-type="quote_container"><div class="ace-line old-record-id-HsFLdH6X3oskCgxaDRkc6lnGnsg">PUDU MP2000's distributed fleet orchestration gives robots the ability to communicate, make decisions, and plan routes together. For recurring pallet moves, that coordination helps the fleet distribute work instead of sending multiple robots toward the same busy pickup area at once.</div><p style="text-align:center;">&nbsp;</p><p style="text-align:center;"><img src="https://cdn.pudutech.com/1_3_77320f43c9.PNG" alt="1.3.PNG" width="1280" height="921"></p><div class="ace-line old-record-id-Q3MOdwyWvok8KKxf8APcgJL1nag">MP2000 also recognizes load carriers and detects storage-location occupancy, helping it deal with the physical conditions it encounters when the task begins—not just the conditions assumed when the task was assigned.</div></blockquote><h2 class="heading-2 ace-line old-record-id-TBDjdzs61o3PJkxc94qcVtdanbe" style="text-align:left;"><strong>How Can Robots Fleet Share the Same Space Safely?</strong></h2><h3 class="heading-3 ace-line old-record-id-VacodVDsroYRRDx4GyYcTipFnkg" style="text-align:left;"><strong>Identify the Places Where Traffic Accumulates</strong></h3><div class="ace-line old-record-id-FE3ndAGD7oh1P5xtxkqctaIvnse">Narrow aisles, intersections, storage location endpoints, elevators, automatic doors, and conveyor handoff points are natural queues. Mixed pedestrian and forklift traffic adds moving hazards, while temporary stock can block a route that was clear when a task began. Frequent pallet pickups and deliveries may also create queues around a small number of positions.</div><h3 class="heading-3 ace-line old-record-id-IoSrdJ1lqoBfNgxsVHGcb8SbnEc" style="text-align:left;"><strong>Coordinate Traffic Rules with Three Levels</strong></h3><div class="ace-line old-record-id-NjmQdrXueoxlkExXS9kcIEaUnog">Effective traffic management works at several levels:</div><ul class="list-bullet1" start="1"><li class="ace-line old-record-id-HsoNdrZPbo1H0sx65ANcSfV1nYd" data-list="bullet"><div>At the scheduling level, define priorities, buffer areas, and reservations for shared resources.</div></li><li class="ace-line old-record-id-Pfucd2BfwokeVPxlOqmcjiwYnGo" data-list="bullet"><div>At the fleet level, plan routes and control the order in which robots enter constrained areas.</div></li><li class="ace-line old-record-id-F5PJdlIM5oBUuEx8850cwpsNnib" data-list="bullet"><div>At the robot level, detect people, forklifts, and obstacles in real time, then stop, avoid, or reroute as the situation requires.</div></li></ul><h3 class="heading-3 ace-line old-record-id-BPaGdwYciosGg5xBBiCcmxrgn2g"><strong>Test Traffic Control Under Peak Conditions</strong></h3><div class="ace-line old-record-id-OfjfdbnVsoRLbVxwQMmcHwlBnNf">Measure average waiting time, congestion events, and task timeout rate, not just the travel speed of a single robot. During a peak workload test, temporarily close a key route, make a shared device unavailable, and take one robot offline. The fleet should replan in an orderly way and keep critical work moving when a passage becomes blocked.</div><blockquote class="old-record-id-AA3Odsv0powO1AxKohqc6CdXnBb" data-type="quote_container"><div class="ace-line old-record-id-QDimdT4JDoaXgSxic1lciguancc">PUDU MP2000 combines inter-robot coordination with depth cameras, 3D LiDAR, and other sensors to detect people, equipment, and obstacles, helping it decide whether to avoid or stop for dynamic obstacles and reroute around static ones during peak hours.</div><p style="text-align:center;"><img src="https://cdn.pudutech.com/1_4_b7745ef54b.png" alt="1.4.png" width="1280" height="713"></p><div class="ace-line old-record-id-NM2gdh9viovX4IxunIbcbZO3n2f">MP2000 can also perform a 90° pallet pickup in an aisle as narrow as 2 m. This is more than a space-saving figure: it lets pallet work happen in constrained storage areas while the fleet manages movement around them.</div></blockquote><h2 class="heading-2 ace-line old-record-id-SNAAd3dDCo9tUZx2pHNcwsavnkd" style="text-align:left;"><strong>How to Recover the Robot Fleet Management from Exceptions?</strong></h2><h3 class="heading-3 ace-line old-record-id-FgyBd70vTolBRgxnN0Yc4OqfnAg" style="text-align:left;"><strong>Plan for Failures Before They Occur</strong></h3><div class="ace-line old-record-id-UviUdzKC4oEoiRxpOuZcNmzInyf">A task can stop because a robot fails or goes offline, its battery falls short, a network connection drops, or an interface callback does not arrive. Pickup can fail when a pallet is misaligned, or a storage location is occupied. Blocked routes, unavailable doors or elevators, cancellations, changed priorities, and urgent insertions create further exceptions.</div><blockquote class="old-record-id-ZRotdwgARo2Gq2xESV4cBz21nIc" data-type="quote_container"><h4 class="heading-4 ace-line old-record-id-IDzZd7dK1oATWWx7IKRcHHqpnSc"><strong>Why Can Charging Become Part of Scheduling?</strong></h4><div class="ace-line old-record-id-Lj1ld4lwDok0azxDaSsc65monqd">Charging becomes a fleet problem when several robots need it at the same time. If too many leave service during a production peak, available transport capacity can fall just when it is most needed.</div><div class="ace-line old-record-id-KCDIdWc4FoPW8NxUHwzcLKtcnEf">Three charging strategies address different situations:</div><ul class="list-bullet1" start="1"><li class="ace-line old-record-id-JqaJdCxaXo1Y55xSVfKcVZCHnue" data-list="bullet"><div><strong>Threshold charging</strong> sets a minimum battery level. When an industrial AMR reaches that threshold, it enters the charging queue instead of taking another task that could leave it short of power midway. The threshold should reflect the site's typical travel distances, loads, and time needed to reach a charger.</div></li><li class="ace-line old-record-id-HvApdSnd5oOAeYxQUd6cifVWncg" data-list="bullet"><div><strong>Opportunity charging</strong> uses gaps between tasks for short charging sessions. It helps keep battery levels from falling together across the fleet, while returning robots to work when demand rises.</div></li><li class="ace-line old-record-id-HujDdwHMXoUhZ8xlpBSc55Rmnkf" data-list="bullet"><div><strong>Predictive charging</strong> looks ahead at the expected workload. Before assigning a long or heavy-load move, the fleet considers whether the robot has enough power to complete the task and reach its next safe stopping point. It can schedule charging earlier when a busy period is approaching, preserving available robots for urgent jobs.</div></li></ul><div class="ace-line old-record-id-Ol7WdOW2EoXu22xmGAwcG3oRnwd">With PUDU MP2000, you can plan charging based on task and battery status and supports automatic and manual charging. Its battery system is also strong enough, which is up to 12 hours unloaded or 6 hours at maximum load, with a charging time of about 2 hours at 200–240 VAC. For pallet handling, the loaded operating time is particularly useful when planning capacity. It helps the fleet set realistic charging windows and avoid assigning a critical move to a robot that cannot complete it.</div></blockquote><div class="ace-line old-record-id-RoeWdvrR2o6Jkzx2GmecENQKnab">Each exception needs a task state and an owner. The system should know whether the load is still at pickup, already on a robot, or placed at its destination before deciding what to do next. This prevents an apparent software failure from becoming a duplicate physical move or an unaccounted pallet.</div><p style="text-align:center;"><img src="https://cdn.pudutech.com/1_5_250441d30e.png" alt="1.5.png" width="1280" height="701"></p><h3 class="heading-3 ace-line old-record-id-HbdVdSTX9oFmNMxeg3RcwYxjnae" style="text-align:left;"><strong>Recover the Task Without Losing History</strong></h3><div class="ace-line old-record-id-DKPcdc3dvo6MJ9xcz5wc2jgqnnf">Brief failures can trigger limited automatic retries. If the task cannot continue, another robot can be assigned after the load position and carrier state are confirmed. When an operator has resolved the issue, the workflow should resume from a verified checkpoint instead of repeating the whole move. The task record should retain the cause, the action taken, and the final result. Sites with elevated risk also need a clear manual takeover procedure.</div><blockquote class="old-record-id-MofRdQnbyoi8bzxvOewct3yvnjg" data-type="quote_container"><div class="ace-line old-record-id-R1LOd3E5VolW6Fxh03ucLdBZnEh">MP2000 can switch between autonomous and manual modes, allowing an operator to assist when routine autonomous operation cannot proceed. After intervention, the system can record the handoff and the conditions for returning to autonomous work so physical and digital task states remain aligned.</div></blockquote><h2 class="heading-2 ace-line old-record-id-CNBvd0QkLoIqggxi6NEcEc78nTe"><strong>How to Verify the Whole Workflow Before Launching a Robot Fleet?</strong></h2><div class="ace-line old-record-id-CPFndpQSWozzEPxcrOvcaRIpnJh">A successful demonstration shows that one robot can move one pallet. Launch readiness requires more: business records must match physical moves, multiple robots must work together under peak demand, and operators must know how to resolve exceptions. Acceptance testing should use the site's actual workflows and agreed response targets.</div><h3 class="heading-3 ace-line old-record-id-Wqc0d2L3MolGajx0pPVcr1sMnQh">Interface Acceptance: Keep Digital Records in Step with Physical Moves</h3><div class="ace-line old-record-id-PhKOdsi23obxN1xKUQYc7CeVnpd">The MES or WMS should be able to create, query, and cancel transport tasks and receive their results. Duplicate requests, network timeouts, or failed callbacks must not cause duplicate moves or leave task, inventory, and work-order records out of sync.</div><h3 class="heading-3 ace-line old-record-id-Flx3dtheqorQ4hxKTwocLRLpnmc">Fleet Acceptance: Maintain Capacity and Recover Under Load</h3><div class="ace-line old-record-id-PMeMdZ3Qmom3ERxIHGscwqAtn8d">Priority tasks should receive a timely response. During concurrent operation, the fleet should manage congestion, battery levels, and robot failures without losing track of a task or its load. Offline robots and manual intervention need clear recovery procedures.</div><h3 class="heading-3 ace-line old-record-id-QtVnd5114oJWPSxOKWrcuT2Lnre">Site Acceptance: Prove the Process in the Real Environment</h3><div class="ace-line old-record-id-Xr5ddAXSLouv2XxEusvcnmpkn3g">The fleet should handle the site's approved loads, storage locations, routes, and mixed traffic. Shared equipment such as elevators and automatic doors must operate reliably with the fleet. Operators should be able to see task, robot, and exception status in one operating view.</div><p style="text-align:center;"><img src="https://cdn.pudutech.com/1_6_15095687de.png" alt="1.6.png" width="1280" height="500"></p><div class="ace-line old-record-id-JwDUdjvJ3oMbyMx5frqcfIwfnbc">The PUDU MP2000 can be a strong solution for warehouses or factories that want to scale their robot fleet and need multi-robot management software capabilities. The table shows how each capability contributes once the corresponding workflow has passed site acceptance.</div><p style="text-align:center;"><img src="https://cdn.pudutech.com/13_alt_Robot_Fleet_Management_5f53d04e02.webp" alt="内文13（alt-Robot Fleet Management）.webp" width="2734" height="2500"></p></div></div>

<div class="ace-line old-record-id-CtfFdoVbioDkOexVP5rcwxHqnff">A single robot can move a pallet from one point to another. Add more robots, and the challenge changes. They must respond to competing requests, share narrow aisles, coordinate at doors and elevators, find time to charge, and recover when a pickup fails. Without a way to manage those interactions, adding robots can simply create more waiting.</div><div class="ace-line old-record-id-CtfFdoVbioDkOexVP5rcwxHqnff">&nbsp;</div><div class="ace-line old-record-id-Rozkd5lbHoGOHKxnSLvcy4BSnPb">The central question is how a request from a manufacturing execution system (MES) or warehouse management system (WMS) becomes a transport task that can be executed, tracked, and completed—even when conditions on the floor change. The <a target="_blank" rel="noopener noreferrer" href="https://www.pudurobotics.com/en/products/mp2000" data-lark-is-custom="true">PUDU MP2000</a> addresses this as part of a connected fleet: it can receive tasks through APIs, coordinate routes with other robots, perceive its surroundings, and work with site equipment. The value lies in how those capabilities support the entire material flow.</div>

A Guide to Robot Fleet Management: MES/WMS Integration and Fleet Orchestration

<div data-page-id="HaP9dRrVEo3dBexVEitc81vlnHg" data-lark-html-role="root" data-docx-has-block-data="false"><div class="ace-line old-record-id-IYWNdL9b1onfXQx1TaZcDBTLnhg">Factory intralogistics depends on moving the right load through the right route at the required pace. The right provider of industrial delivery robots or AMRs is therefore one whose products match a facility's carriers, payloads, paths, safety requirements, and control systems. For repetitive floor-level movement of pallets, cages, and forkable racks, <a target="_blank" rel="noopener noreferrer" href="https://www.pudurobotics.com/en/products/mp2000" data-lark-is-custom="true"><span style="color:rgb(36,91,219);"><u>PUDU MP2000</u></span></a> is an AI-native pallet handling robot designed as an automated pallet mover for existing manufacturing and warehouse environments.</div><div class="ace-line old-record-id-IYWNdL9b1onfXQx1TaZcDBTLnhg"><meta charset="utf-8"></div><div data-page-id="HaP9dRrVEo3dBexVEitc81vlnHg" data-lark-html-role="root" data-docx-has-block-data="false"><h2>Which Factory Intralogistics Tasks Suit an Automated Pallet Mover?</h2><div class="ace-line old-record-id-MdhNdTy09oe3mNx7UTAcOWwHnTe">The strongest applications for an automated pallet mover are predictable pallet flows that connect receiving, storage, production, and outbound areas. Within that operating scope, common tasks include:</div><ul class="list-bullet1" start="1"><li class="ace-line old-record-id-JAQddoZHOocmVCxDdgNcqmgSn7b" data-list="bullet"><div><strong>Receiving and storage transfer.</strong> Move inbound pallets from receiving or dockside staging areas to warehouse or buffer locations after unloading and acceptance.</div></li><li class="ace-line old-record-id-MpsPdKKMDo8Yc8xzwBlcD4penge" data-list="bullet"><div><strong>Warehouse-to-line delivery.</strong> Supply palletized components, packaged materials, cages, or forkable racks from storage and line-side supermarkets to production areas.</div></li><li class="ace-line old-record-id-NoERdp52vohsyKx4VrncgECDnee" data-list="bullet"><div><strong>Work-in-process movement.</strong> Transfer WIP between production cells or sequential process points where pickup and delivery locations are clearly defined.</div></li><li class="ace-line old-record-id-NxQzdeYbnoductxGuJscavrdnSe" data-list="bullet"><div><strong>Finished-goods flow.</strong> Carry completed or packaged goods between packing areas, finished-goods storage, and outbound staging zones.</div></li></ul><div class="ace-line old-record-id-WvdUdsa7oo0LNnxJaUuccbpOn7g">Across these use cases, an automated pallet mover performs horizontal transport rather than high-bay stacking. Loads move in batches, and pickup and drop-off points recur often enough for automation to provide consistent support. These operating boundaries define the carrier and route evidence a buyer needs to test.</div><p style="text-align:center;"><img src="https://cdn.pudutech.com/1_61a06d1e26.PNG" alt="1.PNG" width="682" height="455"></p><div class="ace-line old-record-id-WvdUdsa7oo0LNnxJaUuccbpOn7g"><meta charset="utf-8"></div><div data-page-id="HaP9dRrVEo3dBexVEitc81vlnHg" data-lark-html-role="root" data-docx-has-block-data="false"><h2 class="heading-2 ace-line old-record-id-doxcnpc7hkPhXN65ecQcLkL1JjW" style="text-align:left;">What Should a Factory Consider When Choosing an AMR Brand?</h2><div class="ace-line old-record-id-RFdldxKqpoq4C9x99YScKRckno0">When comparing <a target="_blank" rel="noopener noreferrer" href="https://www.pudurobotics.com/en/products?tab=industrial" data-lark-is-custom="true"><span style="color:rgb(36,91,219);"><u>industrial delivery robots</u></span></a>, factories need to evaluate the complete handling cycle, not payload alone. The following checks turn a product comparison into a site-specific operating test.</div><p style="text-align:center;"><img src="https://cdn.pudutech.com/11_alt_PUDU_MP_2000_capabilities_overview_1b50545474.webp" alt="内文11（alt-PUDU MP2000 capabilities overview）.webp" width="2524" height="980"></p><div class="ace-line old-record-id-RFdldxKqpoq4C9x99YScKRckno0"><meta charset="utf-8"></div><div data-page-id="HaP9dRrVEo3dBexVEitc81vlnHg" data-lark-html-role="root" data-docx-has-block-data="false"><div class="ace-line old-record-id-JU2PdCqMkoCCktxjNxZcC9EKnhQ">Because the operating zone materially affects the safe operation of autonomous material-handling robots, a meaningful pilot uses real carriers and representative transport routes. Record fork-engagement success, end-to-end task time, and the number and cause of manual interventions. Set acceptance thresholds before the trial, and report results separately by carrier type and route. This prevents an easy route from masking weaker performance under constrained conditions.</div><div class="ace-line old-record-id-JU2PdCqMkoCCktxjNxZcC9EKnhQ">&nbsp;</div><div class="ace-line old-record-id-O5EMd0ZEeoiGoRxiLiNcGigrnlA">Useful results reveal not only whether a robot can move the load, but also where the workflow still needs manual correction. That distinction matters most at pickup, where carrier type, pallet placement, and available storage space can vary even when the route remains fixed.</div><div class="ace-line old-record-id-O5EMd0ZEeoiGoRxiLiNcGigrnlA">&nbsp;</div><p style="text-align:center;"><img src="https://cdn.pudutech.com/2_9b2af27c29.PNG" alt="2.PNG" width="682" height="455"></p><div class="ace-line old-record-id-O5EMd0ZEeoiGoRxiLiNcGigrnlA"><meta charset="utf-8"></div><div data-page-id="HaP9dRrVEo3dBexVEitc81vlnHg" data-lark-html-role="root" data-docx-has-block-data="true"><h2 class="heading-2 ace-line old-record-id-doxcnnMgK7JYzg9OdQeO138elce" style="text-align:left;"><strong>How Does PUDU MP2000 Complete Autonomous Pallet Transport?</strong></h2><div class="ace-line old-record-id-Cm5Sdo6pzoxEjtxf69hcJ6LtnBh"><a target="_blank" rel="noopener noreferrer" href="https://www.pudurobotics.com/en/products/mp2000" data-lark-is-custom="true"><span style="color:rgb(36,91,219);"><u>PUDU MP2000</u></span></a> connects perception, decision-making, and movement in one handling cycle. It evaluates the pickup environment before acting, allowing the process to accommodate variations in pallet placement, storage availability, and load dimensions.</div><ol class="list-number1"><li class="ace-line old-record-id-MdLDdjVgLo2RbWxvUn0ccIFNnMd" data-list="number"><div>First, PUDU MP2000 receives a transport request with the assigned pickup point and destination.</div></li><li class="ace-line old-record-id-Y3qzdOL7goHJODxE8dbcHdnenkg" data-list="number"><div>On arrival at the pickup or drop-off area, storage-location occupancy and pallet position are checked so the correct target can be selected.</div></li><li class="ace-line old-record-id-S8vBdNT0AoUSukxbdqVcpqS7nYf" data-list="number"><div>Once the target is confirmed, load-carrier recognition guides the approach and aligns the forks with the carrier's actual placement.</div></li><li class="ace-line old-record-id-OclmdYvxmosrsxxnGwjczre6nxg" data-list="number"><div>Before transport begins, load dimensions and contours are assessed to calculate the clearance required along the planned route.</div></li><li class="ace-line old-record-id-HP8Mdo2waoQsOUxQHVdcdACwnwb" data-list="number"><div>Finally, PUDU MP2000 engages the forks, transports the load while responding to obstacles, and places it at the assigned destination.</div></li></ol><div class="ace-line old-record-id-VGyGdhPQPoSEcDxDqveclCUpnkg">Together, these stages form a continuous handling cycle from task dispatch to final placement. The product’s <a target="_blank" rel="noopener noreferrer" href="https://www.pudurobotics.com/en/news/pudu-mp2000-autonomous-pallet-handling" data-lark-is-custom="true"><span style="color:rgb(36,91,219);"><u>AI-native pallet handling</u></span></a> functions help maintain that flow when carrier placement, load shape, or storage-location occupancy changes.</div><h3 class="heading-3 ace-line old-record-id-H7dAdghEboe0VVxCMW8ceqESn4g" style="text-align:left;">AI-Native Adaptation in the Handling Cycle</h3><div class="ace-line old-record-id-PVcBdKtJmoRXeSxxTlUcSdXnnUc">For PUDU MP2000, this intelligence appears in four connected functions at the pickup point and along the route:</div><ul class="list-bullet1" start="1"><li class="ace-line old-record-id-QdCAdtzutomdfNxq2n3cI0OnnsG" data-list="bullet"><div><strong>Load-carrier recognition:</strong> Supports standard Three-Runner Pallets and Perimeter-Base Pallets, while learning to recognize non-standard load carriers so factories can use more of their existing forkable equipment.</div></li></ul><p style="text-align:center;"><img src="https://cdn.pudutech.com/3_09b998a395.png" alt="3.png" width="682" height="269"></p><div class="image-uploaded gallery old-record-id-AAEqdbW5hogEZRxFFOHcssyunhd" style="text-align:center;" data-type="image" data-ace-gallery-json="{&quot;items&quot;:[{&quot;uuid&quot;:&quot;75dc172a-6351-44d0-a5da-d5600b316763&quot;,&quot;height&quot;:269,&quot;width&quot;:682,&quot;currHeight&quot;:269,&quot;currWidth&quot;:682,&quot;natrualHeight&quot;:269,&quot;natrualWidth&quot;:682,&quot;pluginName&quot;:&quot;imageUpload&quot;,&quot;scale&quot;:1,&quot;src&quot;:&quot;https%3A%2F%2Finternal-api-drive-stream.feishu.cn%2Fspace%2Fapi%2Fbox%2Fstream%2Fdownload%2Fpreview%2FDRIEbZffeoDSPUxxKQ2cdOoKn4c%2F%3Fpreview_type%3D16&quot;,&quot;file_token&quot;:&quot;DRIEbZffeoDSPUxxKQ2cdOoKn4c&quot;,&quot;image_type&quot;:&quot;image/png&quot;,&quot;size&quot;:735358,&quot;comments&quot;:[]}]}"><meta charset="utf-8"></div><div data-page-id="HaP9dRrVEo3dBexVEitc81vlnHg" data-lark-html-role="root" data-docx-has-block-data="false"><ul class="list-bullet1" start="1"><li class="ace-line old-record-id-RZcBdFTHLohLrcxsAdRcYu02nEb" data-list="bullet"><div><strong>Storage-location awareness:</strong> Uses occupancy and pallet-position detection to distinguish available and occupied positions and select the correct target without manual confirmation at every handling cycle.</div></li><li class="ace-line old-record-id-NsDYdpzafokengxQD9WcXnUjnzg" data-list="bullet"><div><strong>Adaptive fork alignment</strong>: Compensates for pallet positions offset by up to 15 cm or angled by up to 15 degrees, reducing repeated repositioning before fork engagement.</div></li><li class="ace-line old-record-id-ATWmd0uwvoObQkx031rc76U3nMg" data-list="bullet"><div><strong>Intelligent clearance assessment:</strong> Reads load dimensions and contours to calculate the space required for safe passage in real time, rather than relying only on the unloaded vehicle footprint.</div></li></ul><p style="text-align:center;"><img src="https://cdn.pudutech.com/4_cc107901fb.png" alt="4.png" width="682" height="381"></p><div>&nbsp;</div><div><meta charset="utf-8"></div><div data-page-id="HaP9dRrVEo3dBexVEitc81vlnHg" data-lark-html-role="root" data-docx-has-block-data="false"><div class="ace-line old-record-id-NwX0dSbBpo27LwxgBHGcEu9RnHh">PUDU MP2000 assessing pallet load dimensions for safe route clearance</div><div class="ace-line old-record-id-NwX0dSbBpo27LwxgBHGcEu9RnHh">&nbsp;</div><div class="ace-line old-record-id-GtuXd9KBgoOm7bx4WiycKS4vnNf">Once pickup conditions are resolved, four operating groups determine whether PUDU MP2000 can sustain the planned factory transport: load handling, aisle fit, route response, and system control.</div><h3 class="heading-3 ace-line old-record-id-IPcRdnp1UoyKzyxXBf6cAautnkh" style="text-align:left;">Industrial Performance and Route Execution</h3><p style="text-align:center;"><img src="https://cdn.pudutech.com/11_alt_PUDU_MP_2000_capabilities_overview_1b50545474.webp" alt="内文11（alt-PUDU MP2000 capabilities overview）.webp" width="2524" height="980"></p><p><meta charset="utf-8"></p><div data-page-id="HaP9dRrVEo3dBexVEitc81vlnHg" data-lark-html-role="root" data-docx-has-block-data="false"><p style="text-align:center;"><img src="https://cdn.pudutech.com/5_937f4ee21a.png" alt="5.png" width="682" height="382"></p><div class="ace-line old-record-id-Y6NzdaeOuoFNyJxlWxdcZt5bneZ">Together, these capabilities link autonomous pickup with controlled route execution. They also give buyers measurable criteria for matching an automated pallet mover to real carriers, paths, production pace, and integration requirements.</div><div class="ace-line old-record-id-YSVedyp1boXa0BxZR4gconUqnYd">&nbsp;</div><h2 class="heading-2 ace-line old-record-id-Q5S0dDBA5ovsIuxbUGccJO0Anwc" style="text-align:left;">How PUDU Supports Factory Intralogistics Automation</h2><div class="ace-line old-record-id-NSSZdYo9QoQNQ9xhEaIcVdY6nGg">An automated pallet mover is a practical fit for repeated, batch-based movement between floor-level pickup and drop-off points. A strong deployment case combines carrier compatibility, route clearance, reliable autonomous pickup, safe navigation, and integration with the required production flow.</div><div class="ace-line old-record-id-NSSZdYo9QoQNQ9xhEaIcVdY6nGg">&nbsp;</div><div class="ace-line old-record-id-FMoMdsJLBohJOvxaYHFctDpxnNb">At <a target="_blank" rel="noopener noreferrer" href="https://www.pudurobotics.com/en" data-lark-is-custom="true"><span style="color:rgb(36,91,219);"><u>Pudu Robotics</u></span></a>, we develop service delivery, commercial cleaning, industrial delivery, and embodied AI product lines. Our full-stack R&amp;D covers navigation algorithms, multi-robot scheduling, swarm control, and motion controllers. We have shipped more than 130,000 units globally and operate in over 85 countries and regions.</div><div class="ace-line old-record-id-FMoMdsJLBohJOvxaYHFctDpxnNb">&nbsp;</div><div class="ace-line old-record-id-BKtWdDu5wo7NOCx86zxcNtgCngd">Within this wider robotics platform, <a target="_blank" rel="noopener noreferrer" href="https://www.pudurobotics.com/en/products/mp2000" data-lark-is-custom="true"><span style="color:rgb(36,91,219);"><u>PUDU MP2000</u></span></a> applies AI-native perception and autonomous navigation to pallet transport in <a target="_blank" rel="noopener noreferrer" href="https://www.pudurobotics.com/en/solutions/industrial-warehouse-logistics" data-lark-is-custom="true"><span style="color:rgb(36,91,219);"><u>manufacturing, warehousing, and logistics</u></span></a>. Teams can validate PUDU MP2000 with real carriers, representative routes, and the required production pace, then <a target="_blank" rel="noopener noreferrer" href="https://www.pudurobotics.com/en/contact-us" data-lark-is-custom="true"><span style="color:rgb(36,91,219);"><u>contact us</u></span></a> to plan a site assessment.</div></div></div></div></div></div></div></div></div>

<p>Factory intralogistics depends on moving the right load through the right route at the required pace. The right provider of industrial delivery robots or AMRs is therefore one whose products match a facility's carriers, payloads, paths, safety requirements, and control systems. For repetitive floor-level movement of pallets, cages, and forkable racks, <a target="_blank" rel="noopener noreferrer" href="https://www.pudurobotics.com/en/products/mp2000" data-lark-is-custom="true"><span style="color:rgb(36,91,219);"><u>PUDU MP2000</u></span></a> is an AI-native pallet handling robot designed as an automated pallet mover for existing manufacturing and warehouse environments.</p>

PUDU MP2000 Automated Pallet Mover A Factory Intralogistics Buyer's Guide

<p>A warehouse automation solution is often designed around an ideal operating model: standardized loads arrive at predictable locations, pallets are positioned accurately, storage locations match system records, and material-handling equipment follows repeatable workflows.</p>

Why Pallet Variability Is One of the Hardest Problems in Warehouse Automation

<div style="white-space:pre-wrap;" data-zone-id="0" data-line-index="0" data-line="true">Forklift automation is no longer a new idea.</div><div style="white-space:pre-wrap;" data-zone-id="0" data-line-index="0" data-line="true">&nbsp;</div><div style="white-space:pre-wrap;" data-zone-id="0" data-line-index="1" data-line="true">For years, automated guided vehicles and automated forklifts have helped warehouses and manufacturing facilities move pallets along repeatable routes with less manual handling. As these systems have matured, the question facing industrial operators is changing.</div><div style="white-space:pre-wrap;" data-zone-id="0" data-line-index="1" data-line="true">&nbsp;</div><div style="white-space:pre-wrap;" data-zone-id="0" data-line-index="2" data-line="true">It is no longer simply:</div><div style="white-space:pre-wrap;" data-zone-id="0" data-line-index="2" data-line="true">&nbsp;</div><div style="white-space:pre-wrap;" data-zone-id="0" data-line-index="3" data-line="true"><strong>Should pallet transport be automated?</strong></div><div style="white-space:pre-wrap;" data-zone-id="0" data-line-index="3" data-line="true">&nbsp;</div><div style="white-space:pre-wrap;" data-zone-id="0" data-line-index="4" data-line="true">A more relevant question is:</div><div style="white-space:pre-wrap;" data-zone-id="0" data-line-index="4" data-line="true">&nbsp;</div><div style="white-space:pre-wrap;" data-zone-id="0" data-line-index="5" data-line="true"><strong>How intelligently can a robotic forklift respond when the warehouse does not behave exactly as expected?</strong></div><div style="white-space:pre-wrap;" data-zone-id="0" data-line-index="5" data-line="true">&nbsp;</div><div style="white-space:pre-wrap;" data-zone-id="0" data-line-index="6" data-line="true">That distinction matters because real warehouses are full of variability. A pallet may be slightly offset from its expected position. Different suppliers may use different pallet formats. A storage location that was empty an hour ago may now be occupied. Loads vary in width and shape. Temporary obstacles can appear in aisles, while workers, forklifts, carts, and other robots may all share the same operating area.</div><div style="white-space:pre-wrap;" data-zone-id="0" data-line-index="6" data-line="true">&nbsp;</div><div style="white-space:pre-wrap;" data-zone-id="0" data-line-index="7" data-line="true">Conventional automated or AGV forklift systems can perform highly repeatable tasks effectively, particularly in stable and structured environments. But a new generation of AI-native robotic forklifts is being designed to address a different challenge: allowing the robot itself to perceive more of these variations and adapt its behavior accordingly.</div><div style="white-space:pre-wrap;" data-zone-id="0" data-line-index="7" data-line="true">&nbsp;</div><div style="white-space:pre-wrap;" data-zone-id="0" data-line-index="8" data-line="true">The PUDU MP2000 AI-Native Pallet Handling Robot represents this direction. With a payload capacity of up to 2,000 kg, MP2000 combines autonomous pallet transport with AI load-carrier recognition, storage occupancy detection, adaptive pallet alignment, intelligent clearance assessment, multi-sensor perception, and distributed fleet orchestration.</div>

Robotic Forklift vs. AGV Forklift: What Changes with AI-Native Autonomy?

Pudu Robotics Joins Shenzhen's Lights-Out Initiative to Protect Migratory Birds

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Pudu Robotics Joins Shenzhen's Lights-Out Initiative to Protect Migratory Birds

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