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Logistics and Warehousing Automation Solutions

The problem

Traditional factory logistics and warehouse operations often depend on manual forklifts, carts, and fixed conveyor systems for receiving, put-away, replenishment, production supply, work-in-process transfer, finished-goods movement, and outbound handling. As SKU counts, order profiles, production schedules, and warehouse layouts change, manual dispatching can become increasingly dependent on operator experience, shift availability, and peak workload.

Common operational problems include waiting time, empty travel, traffic congestion, delayed replenishment, misplaced materials, inconsistent delivery timing, and production interruptions caused by missing components. Manual pallet transport and repetitive long-distance movement can also increase labor intensity and create additional requirements for traffic control and workplace safety.

Fixed automation can provide high efficiency on stable routes, but it may become less flexible when production lines, storage locations, or material flows change. Manufacturers and warehouse operators therefore need more than driverless transport. They need a coordinated material-flow system that connects receiving, storage, production logistics, palletizing, finished-goods movement, and outbound operations while allowing mobile robots, autonomous forklifts, robotic cells, and human-operated equipment to work within the same facility.

Our approach

UBT Robotics builds logistics and warehousing automation around trackless deployment, autonomous navigation, fleet coordination, automatic charging, and system integration. The AMR/AGV platforms use SLAM autonomous mapping and navigation to create maps, plan routes, and avoid changing obstacles without requiring permanent magnetic strips or QR-code routes on the floor. Selected configurations combine LiDAR with 3D vision to improve perception of pedestrians, racks, machines, and obstacles at different heights. The product material describes SLAM mapping for complex industrial environments of up to approximately 40,000 m² and autonomous route planning for efficient delivery.

For totes, carts, customized racks, and production materials, UBT Robotics can configure 100 kg, 300 kg, or heavy-duty AMR platforms according to payload and workflow. The 100 kg class is positioned for electronics, SMT, assembly, and line-side delivery. The 300 kg low-profile lifting AMR can drive underneath compatible racks and provide approximately 100 mm of jacking for rack transport between warehouse, production, and workstation areas. Heavy-duty AMRs extend the concept to industrial racks, automotive components, metal parts, and other higher-payload factory logistics. Because routes are software-defined, material flows can be reconfigured when production layouts change instead of rebuilding a fixed conveyor route.

For pallet handling, UBT Robotics autonomous forklift platforms cover 1.0T, 1.2T, 1.5T, and 2.0T payload classes with configurations for low-level pallet delivery, stacking, counterbalanced handling, narrow forks, and narrow-body applications. The forklift brochure describes reflectorless LiDAR / 3D LiDAR SLAM navigation, 3D perception for fork alignment, and active dynamic obstacle avoidance, allowing pallet transport and put-away without extensive navigation infrastructure modification.

In multi-robot deployments, the fleet-management architecture can coordinate mission dispatching, optimal path planning, real-time obstacle avoidance, and intersection traffic. The source material describes support for synchronized fleets of more than one hundred robots. Robots can also return automatically to the charging station when battery level drops below a preset threshold. Depending on project interfaces, the solution can be integrated with WMS, WES, MES, ERP, PLCs, conveyors, automatic doors, elevators, station-call systems, and warehouse equipment, allowing customers to scale from a single transport route to a coordinated intralogistics network.

Key Product Advantages

  • Trackless Deployment: LiDAR SLAM navigation reduces the need for magnetic strips or QR-code routes and makes layout changes easier to accommodate.
  • LiDAR + 3D Vision Perception: Multi-layer sensing improves awareness of pedestrians, racks, machinery, and obstacles in complex factories.
  • Autonomous Route Planning: Robots can plan driving routes based on maps and task requirements rather than following only fixed physical tracks.
  • Multi-Robot Fleet Scheduling: Task allocation, traffic coordination, and intersection management support expansion from a single robot to large fleets.
  • Automatic Charging: Robots can return to a charging station automatically when battery level reaches a preset threshold.
  • 100–600 kg AMR Portfolio: Light-duty delivery, 300 kg lifting/rack transport, and heavy-duty factory logistics can be addressed within one solution family.
  • 100 mm Jacking AMR: The 300 kg low-profile platform can lift compatible customized racks by approximately 100 mm for autonomous rack transport.
  • 1.0–2.0T Autonomous Forklifts: Pallet delivery, stacking, counterbalanced handling, narrow-fork, and narrow-body workflows are covered by multiple forklift configurations.
  • Flexible System Integration: Project-level integration can connect WMS / MES / ERP / PLC, conveyors, doors, elevators, and production stations.
  • Multilingual Operation: Product material states support for at least 10 operating languages, supporting multinational deployments.

Typical Applications

  • Raw material receiving and warehouse transfer
  • Pallet transport and automated fork handling
  • Line-side material replenishment
  • Work-in-process movement
  • Empty pallet return and distribution
  • Finished-goods transfer and put-away
  • Pallet transport after robotic palletizing
  • Movement between picking, packing, and staging areas
  • Multi-zone intralogistics
  • Fleet scheduling and automatic charging

Recommended Automation Equipment

  • AMR material handling robots
  • AGV transport vehicles
  • Autonomous forklifts
  • Pallet transport robots
  • Robotic palletizing systems
  • Collaborative palletizing robots
  • Conveyor and workstation interfaces
  • Robot controllers and fleet management systems