PUDU MP2000

AI-Native Pallet Handling Robot

Powered by multi-sensor navigation and edge intelligence, the robot requires no site modifications, platform integration, or complex deployment. Fast site mapping and configuration shorten deployment cycles and accelerate time to value.

Plug-and-Play
AI-Native Autonomy
Fleet Orchestration
20s Fork Insertion
Omni-Sense Safety
IoT Integration
Plug-and-Play, Rapid Deployment
AI-Native Intelligence, Autonomous Operations

Features

Plug-and-Play, Rapid Deployment

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.

Intelligent Clearance Assessment

Detects load dimensions and contours to calculate the space required for safe passage in real time. Handles thresholds up to 10 mm and gaps up to 35 mm in complex environments.

Intelligent Fleet Orchestration

Distributed fleet orchestration enables each robot to make decisions and plan routes, with inter-robot communication ensuring efficient coordination. Even offline, the fleet continues operating in sync.

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.

Specifications

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)