An AMU system includes an Autonomous Mobile Unit (“AMU”), base station, lanyard, and Warehouse Management System (“WMS”) configured to communicate with one another over a network. The AMU includes a microphone configured to receive verbal commands from an individual. The individual can further provide verbal commands through the base station and the lanyard when worn by the individual. The lanyard can also provide a geo-fence around the individual where the AMU slows down to enhance safety.

Disclosed herein is an automated conveyance robot (ACR) for conveying movable platforms (MPs) in and out of trailers. A lift carriage at a first end of the ACR is configured to couple to the MP during movement and disengage after movement. A counterweight system at a second end of the ACR counterbalances the ACR during conveyance. The ACR comprises a front drive assembly and a rear drive assembly which are independently steerable to allow for different steering methods. The ACR can function fully automated or can be controlled

An autonomous transport robot for transporting a payload is provided and includes a frame with an integral payload support, a transfer arm connected to the frame for autonomous transfer of payload to and from the frame, and a drive section with at least a pair of traction drive wheels astride the drive section, the drive section being connected to the frame. The at least the pair of traction drive wheels have a fully independent suspension coupling each traction drive wheel of the at least the pair of traction drive wheels to the frame, with at least one intervening pivot link between at least one traction drive wheel and the frame configured to maintain a substantially steady state traction contact patch between the at least one traction drive wheel and a rolling surface over rolling surface transients throughout traverse of the at least one traction drive wheel over the rolling surface.

An automatic truck unloading apparatus and method are provided. The automatic truck unloading apparatus generates sensing information regarding the presence or absence of a pallet on the truck by implementing sensors installed in a region of a truck and a region of a storage area, and sets optimal transport paths for multiple unmanned forklift vehicles based on the sensing information, and unloads a pallet from the truck and moves and stores the pallet in the storage area by implementing an unmanned forklift vehicle.

A transport vehicle (2) that travels along a container shelf (1) is provided with a plurality of levels of shelf portions (11) arranged in a vertical direction (Z) and configured to support containers (W), thereby transporting the containers (W). The transport vehicle (2) is provided with a support region where a container (W) is supported, a first transfer apparatus (23) that inserts/takes the container (W) into/out of the container shelf (1), and a second transfer apparatus (24) that loads/unloads the container (W) on/from the support region. The second transfer apparatus (24) is configured such that a container (W) can be moved to the support region so as to allow a plurality of the containers (W) to be supported in a stacked state in the support region.

A materials handling vehicle includes a camera, odometry module, processor, and drive mechanism. The camera captures images of an identifier for a racking system aisle and a rack leg portion in the aisle. The processor uses the identifier to generate information indicative of an initial rack leg position and rack leg spacing in the aisle, generate an initial vehicle position using the initial rack leg position, generate a vehicle odometry-based position using odometry data and the initial vehicle position, detect a subsequent rack leg using a captured image, correlate the detected subsequent rack leg with an expected vehicle position using rack leg spacing, generate an odometry error signal based on a difference between the positions, and update the vehicle odometry-based position using the odometry error signal and/or generated mast sway compensation to use for end of aisle protection and/or in/out of aisle localization.

A pallet comprises an upper load supporting surface having a peripheral edge, and a lower surface having a peripheral edge. The lower surface has substantially the same dimensions as the upper load supporting surface. A plurality of peripheral supports are provided at or near the peripheral edge of the lower surface and extend upwardly therefrom to the upper load supporting surface so that the upper load supporting surface and the lower surface are spaced from each other and define sides of the pallet. Each side of the pallet has a first opening and a second opening which are defined by the upper load supporting surface, the lower surface, and a pair of peripheral supports. Inclined surfaces are provided on the lower surface.

A loading system for loading and unloading cargo compartments of trucks includes chain conveyors positioned parallel or substantially parallel to one another and such that standard pallets can be moved back and forth on the chain conveyors in a conveying direction. An autonomous conveyor vehicle is provided as a component of the loading system, and the chain conveyors are positioned at a height above a floor so that the conveyor vehicle with vertically movable pallet fork assemblies can be positioned below the chain conveyors.

A mobile robot includes a non-inverted pendulum body hereafter referred to as NPB with at least one pivot axis and this pivot axis divides the NPB into two portions. One portion of the NPB contains the center of mass of the NPB that can have structures to carry external payloads. The second portion of the NPB can have one or more manipulator arm and vision units. On the pivot axis is disposed at least one leg rotatabily coupled to the NPB. The other end of the leg has a foot joint on which is disposed a drive wheel or a foot. With additional degrees of freedom for each leg the robot can move similar to humanoids, be able to carry and sustain heavy loads with minimal leg joint torques and/or manipulate heavy loads and forces with self-compensating mass of the NPB while using minimal leg joint torques.

A pallet position detection apparatus is provided. The detection apparatus and method checks information on a pallet disposed on a vehicle by recognizing an Radio Frequency Identification (RFID) tag or a Quick Response (QR) code attached to the truck, and recognizes an exact position of the pallet by detecting a reflector positioned on the pallet by a Lidar sensor, and unloads the pallet from the truck using an unmanned forklift vehicle based on the recognized position of the pallet.