Chinese firm Pudu Robotics has launched an AI-native pallet handling robot with a 2000kg capacity to simplify autonomous floor-to-floor material transport across warehouses, logistics facilities and manufacturing environments.

The MP2000 turns autonomous pallet handling from a project-heavy deployment into a standardised robotic option designed to work with existing operations.

It combines multi-sensor navigation, edge intelligence and AI-native perception to simplify deployment from the outset. It can map the operating environment for autonomous navigation and workflow setup without extensive site modifications, dedicated reflectors, QR codes or complex platform integration.

This enables rapid, minutes-level deployment, reducing the infrastructure and commissioning burden typically associated with autonomous forklift projects. For manufacturers, this can help reduce disruption when introducing automation. For logistics operators, the standard deployment model provides flexibility to expand robotic capacity as operational needs evolve.

It supports common pallet formats, including three-runner and perimeter-base pallets, while adapting to customised, non-standard load carriers.

AI-native perception enables real-time, onboard understanding of difficult handling conditions from recognising available storage locations and identifying load positions to adjusting for pallet misalignment. It can also assess the load’s size and shape in real time to determine clearance and navigate through constrained spaces with precision.

The robot is engineered for the repetitive, high-frequency movement that defines industrial pallet logistics. An optimised fork-handling process enables fork-in in as little as 20s, helping shorten pickup cycles and keep material moving efficiently between locations.

The system is designed to reduce repeated positioning and pickup attempts, enabling more consistent handling across warehouse and factory workflows.

Combining 3D lidar, depth cameras and multi-sensor perception lets it detect and interpret obstacles across different heights and positions. The robot can identify low-profile and overhead obstacles, navigate around static obstacles and respond to dynamic obstacles in real time. This enables more adaptive autonomous movement in environments where people, equipment and materials may be constantly changing.

A combination of local intelligence with fleet-level coordination enables flexible, autonomous operation. Each robot can make real-time decisions independently, while multiple units coordinate tasks to maintain efficient and orderly workflows across the fleet.

Fleet coordination can continue in offline environments, supporting reliable operation even when external network connectivity is unavailable. The system also integrates with compatible peripheral equipment to support different operational workflows. Operators can flexibly assign tasks and quickly take control when human intervention is required.

The launch expands Pudu’s industrial portfolio from flexible mobile delivery into standardised pallet handling and heavier-load transport.

Pudu’s T series AMRs, including the T300, address flexible delivery and material transport. The MP2000 (www.pudurobotics.com/en/products/mp2000) extends this capability into palletised, heavier-load and floor-to-floor transportation, covering core workflows across loading docks, warehouses, line-side storage and production workshops. Together, the two product categories provide a broader foundation for end-to-end industrial logistics automation, connecting flexible delivery with standardised pallet transport across the factory and warehouse.