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Plug-and-Play
AI-Native Autonomy
Fleet Orchestration
20s Fork Insertion
Omni-Sense Safety
IoT Integration
AI-Native Intelligence, Autonomous Operations
AI-native intelligence enables storage occupancy detection, load-carrier recognition, and clearance assessment for autonomous operation in dynamic warehouses. This reduces manual checks, site modifications, and commissioning.
AI Load Carrier Recognition
Supports standard three-runner pallet and perimeter-base pallet while automatically learning to recognize non-standard load carriers for precise fork engagement and stable transport.
AI Storage Detection, Seamless Pallet Handling
Detects storage-location occupancy and pallet positions, then selects the right target and plans the route for each pick or drop—completing the handling cycle without manual confirmation.
Adaptive Alignment, Precise Fork Engagement
Automatically adapts to manually placed pallets offset by up to 15 cm and angled by up to 15°, minimizing manual intervention for reliable operation in complex environments.
20s Fork Insertion, Fast Pickup
With fork insertion completed in 20 seconds and speeds up to 1.6 m/s unloaded and 1.2 m/s loaded, the robot reduces cycle times and accelerates material flow for higher throughput.
Omni-Sense Safety
Depth cameras, 3D LiDAR, and other sensors form a multi-layer safety system that detects people, equipment, and obstacles in real time. Even in complex mixed-traffic environments, it identifies risks, avoids hazards, and issues clear warnings.
Flexible Dual-Mode Operation
Seamlessly switches between autonomous and manual modes, handling routine tasks independently while allowing operator assistance when needed for reliable, continuous operations.
IoT Integration & Control
Tasks can be dispatched via PUDU Link, APIs, voice commands, or task buttons. Optional integration with elevator controls, automatic doors, and other IoT devices enables flexible task triggering and device coordination.
PUDU MP2000 Core Applications
Powering material flow at critical touchpoints
Product Overview - MP2000 Standard version
Model
MPID01-M
Overall dimensions
1585 x 910 x 1870 mm（62.40 x 35.83 x 73.62 inches）
Max. load
2000 kg（4409.25 lbs）
Max. lift height
200±5 mm（7.87±0.20 inches）
Lowered fork height
80±5 mm（3.15±0.20 inches）
Right-angle stacking aisle width
≤2000 mm, 1200*1000 mm Pallet (1200 along forks) (≤78.74 inches, 48*40 inches Pallet (48 along forks) )≤1960 mm, 1200*800 mm Pallet (1200 along forks)(≤77.17 inches, 48*31.5 inches Pallet (48 along forks))
Fork outer width
620 mm （24.41 inches)
Navigation method
3D LiDAR-SLAM, VSLAM
Max. surmountable height/gap
10 mm（0.39 inch）35 mm（1.38 inches）
Gradeability
3°/ 8° (Full Load/Unloaded)
Charging time
About 2 h, input voltage 200V~240Vac About 3.2h, input voltage 100V~120Vac
Battery life
12 h (None load)6 h (Max. load)
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Product Overview - MP2000 Narrow Fork
Model
MPID01-N
Overall dimensions
1585 x 910 x 1870 mm（62.40 x 35.83 x 73.62 inches）
Max. load
2000 kg（4409.25 lbs）
Max. lift height
200±5 mm（7.87±0.20 inches）
Lowered fork height
80±5 mm（3.15±0.20 inches）
Right-angle stacking aisle width
≤2000 mm, 1200*1000 mm Pallet (1200 along forks) ≤1960 mm, 1200*800 mm Pallet (1200 along forks)≤78.74 inches, 48*40 inches Pallet (48 along forks) ≤77.17 inches, 48*31.5 inches Pallet (48 along forks)
Fork outer width
550 mm （21.65 inches）
Navigation method
3D LiDAR-SLAM, VSLAM
Max. surmountable height/gap
10 mm （0.39 inches）/35 mm （1.38 inches）
Gradeability
3°/ 8° (Full Load/Unloaded)
Charging time
About 2 h, input voltage 200V~240Vac About 3.2h, input voltage 100V~120Vac
Battery life
12 h (None load) 6 h (Max. load)
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