A forklift truck includes a main controller, a driving motor, a drive controller, and an object detector. The drive controller controls the driving motor. The object detector detects the position of an object being present in the backward direction of the forklift truck. The main controller derives an expected trajectory of the forklift truck. The main controller imposes a speed limit on the forklift truck by setting a vehicle speed upper limit when the object detected by the object detector is located within the expected trajectory and the forklift truck is traveling in the direction of approaching the object. The main controller gives commands to the drive controller to prevent the vehicle speed of the forklift truck from exceeding the vehicle speed upper limit.

Various example embodiments relate to motion control of a target such as a suspended load. An apparatus may comprise: a floating base comprising an exteroceptive observation system configured to measure a position or velocity of at least one target with respect to a reference coordinate frame moving with the floating base. The floating base may further comprise an inertial measurement unit configured to measure at least one inertial state of the floating base with respect to an inertial reference coordinate frame. Position or velocity compensation for the at least one target may be performed based on the at least one inertial state of the floating base.

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 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 method includes: obtaining one or more images of a facility containing objects; detecting positions of the objects in the images; determining, from the detected positions, respective locations in a facility coordinate system for each detected object; for each detected object, generating a trajectory based on the determined location; obtaining a set of computing device identifiers and corresponding computing device locations in the facility coordinate system; based on the identifiers and device locations and at least one of (i) the locations of the objects, (ii) the trajectories, or (iii) the image, detecting associations between the objects and the devices; detecting, based on the trajectories, a potential collision between a first detected object and a second detected object; in response to detecting the potential collision, selecting a computing device associated with at least one of the first and second detected objects; and transmitting a collision notification to the selected computing device.

An industrial vehicle remote operation system includes a forklift truck that includes a vehicle communication unit, a remote operation device that includes a remote communication unit performing wireless communication with the vehicle communication unit and is used for remotely operating the industrial vehicle, and a forced stop control unit configured to decelerate and forcibly stop traveling of the industrial vehicle while maintaining a steering angle of the industrial vehicle formed when a forced stop condition is met, in a case where the forced stop condition is met during a remote operation of traveling of the industrial vehicle using the remote operation device.

An industrial vehicle remote operation system includes a forklift truck that includes a vehicle communication unit, a remote operation device that includes a remote communication unit performing wireless communication with the vehicle communication unit and is used for remotely operating the industrial vehicle, and a forced stop control unit configured to decelerate and forcibly stop traveling of the industrial vehicle while maintaining a steering angle of the industrial vehicle formed when a forced stop condition is met, in a case where the forced stop condition is met during a remote operation of traveling of the industrial vehicle using the remote operation device.

A forklift includes a vehicle body, a loading device, a laser rangefinder, a first extractor configured to extract detection point candidates, a memory that stores at least one of dimension information, position information, and posture information of a container, a second extractor configured to extract at least two posture detection points by checking the detection point candidates against at least one of the dimension information, the position information, and the posture information, and a container posture detector configured to detect a relative angle between the forklift and the container in a vertical direction.

Systems and methods provide assistance to an operator of a material handling vehicle. Provided systems and methods include receiving vehicle condition data at a first material handling vehicle from a second material handling vehicle when the second material handling vehicle is within a predetermined communication range, determining a first predicted vehicle position for the first material handling vehicle based on current vehicle conditions, determining a second predicted vehicle position for the second material handling vehicle based on the received vehicle condition data, and determining if the first predicted vehicle position for the first material handling vehicle overlaps with the second predicted vehicle position for the second material handling vehicle. Upon the determination that the first predicted vehicle position overlaps with the second predicted vehicle position, the operator of the first material handling vehicle is provided an indication.