An industrial truck (2) and a method for operating the same. The industrial truck includes a load fork (4), a fork back (6) and a plurality of fork arms (8a, 8b), each of which include an arm tip at a free end and an arm root arranged on the fork back. The industrial truck includes a load carrier detection system for a load carrier (20, 30, 40) to be transported, which includes at least one spacing distance measurement sensor (14) provided on the load fork that is configured to detect a spacing distance between the load carrier and the fork back, and one or more monitoring sensors (10, 12) provided on the load fork configured to monitor a predetermined measurement region on the load fork. A processing unit for the sensors is configured to determine a reception of the load carrier picked up by the load fork.

A system for automatic generation of a work site equipment grouping is provided. The system includes a plurality of work machines, each work machine configured to wirelessly communicate with other work machines. The system also includes a local area network including a plurality of communicatively connected nodes. The nodes include the work machines. The work machines are configured to create and join the local area network when the work machines are within a signal range of one or more of the plurality of nodes.

A work vehicle comprising a pair of forks and an optical sensor. The optical sensor is configued to capture image data that includes the pair of forks and a moveable object. An electronic processor is configured to perform an operation by controllably adjusting the pair of forks, receive image data captured by the optical sensor, apply an aritificial neural network to identify whether the pair of forks are aligned for moving the moveable object based on the image data, wherein the artificial neural network is trained to receive the image data as input and to produce as the output an indication of whether the pair of forks are aligned for moving the moveable object, access operation information corresponding to whether the pair of forks are aligned for moving the moveable object from a non-transitory computer-readable memory, and automatically adjust an operation of the work vehicle based on the operation information.

A work vehicle comprising a pair of forks and an optical sensor. The optical sensor is configued to capture image data that includes the pair of forks and a moveable object. An electronic processor is configured to perform an operation by controllably adjusting the pair of forks, receive image data captured by the optical sensor, apply an aritificial neural network to identify whether the pair of forks are aligned for moving the moveable object based on the image data, wherein the artificial neural network is trained to receive the image data as input and to produce as the output an indication of whether the pair of forks are aligned for moving the moveable object, access operation information corresponding to whether the pair of forks are aligned for moving the moveable object from a non-transitory computer-readable memory, and automatically adjust an operation of the work vehicle based on the operation information.

A vehicle-initiated cadenced operator interaction system introduces an operational concept to a vehicle operator via a machine-initiated interaction. Thereafter, interaction is initiated by the industrial vehicle according to a cadence that provides a gap between interactions so that the operator can demonstrate the behavior associated with the introduced concept. Industrial vehicle data associated with the content of the interaction(s) is analyzed and evaluated against pre-defined operational criteria to determine whether the operator is demonstrating the appropriate skill/behavior associated with the interaction(s). Responsive to the operator's demonstrated ability, the system can modify operation of the vehicle to tune the industrial vehicle to the operator. The system can also extend to the operating environment, by interacting with electronic devices, vehicles, machines, etc., in the operating environment to tune the environment to the operator.

A handling machine control method, a handling machine control system and a control host are provided. The method includes: detecting a handling instruction which instructs a handling of a first object; reading handling information of the first object according to the handling instruction; if the handling information of the first object is read, control, according to the handling information, a first handling machine to move to a first position and perform a first operation to lift up the first object at the first position; after the first object is lifted up, control the first handling machine to move to a second position and perform a second operation to put down the first object at the second position; and in response to that the first object is put down at the second position, updating the handling information of the first object.

A handling machine control method, a handling machine control system and a control host are provided. The method includes: detecting a handling instruction which instructs a handling of a first object; reading handling information of the first object according to the handling instruction; if the handling information of the first object is read, control, according to the handling information, a first handling machine to move to a first position and perform a first operation to lift up the first object at the first position; after the first object is lifted up, control the first handling machine to move to a second position and perform a second operation to put down the first object at the second position; and in response to that the first object is put down at the second position, updating the handling information of the first object.

A method and system are herein disclosed wherein a robot handles objects that are large, unwieldy, highly-deformable, or otherwise difficult to contain and carry. The robot is operated to navigate an environment and detect and classify objects using a sensing system. The robot determines the type, size and location of objects and classifies the objects based on detected attributes. Grabber pad arms and grabber pads move other objects out of the way and move the target object onto the shovel to be carried. The robot maneuvers objects into and out of a containment area comprising the shovel and grabber pad arms following a process optimized for the type of object to be transported. Large, unwieldy, highly deformable, or otherwise difficult to maneuver objects may be managed by the method disclosed herein.

A method and system are herein disclosed wherein a robot handles objects that are large, unwieldy, highly-deformable, or otherwise difficult to contain and carry. The robot is operated to navigate an environment and detect and classify objects using a sensing system. The robot determines the type, size and location of objects and classifies the objects based on detected attributes. Grabber pad arms and grabber pads move other objects out of the way and move the target object onto the shovel to be carried. The robot maneuvers objects into and out of a containment area comprising the shovel and grabber pad arms following a process optimized for the type of object to be transported. Large, unwieldy, highly deformable, or otherwise difficult to maneuver objects may be managed by the method disclosed herein.

A CPS-based smart forklift truck management device includes a space information collector collecting distribution warehouse space information, a distribution warehouse visualizer which generates a digital twin for a distribution warehouse space based on the collected distribution warehouse space information and visualizes a loading situation of an article storage and a movement situation of a forklift truck on the distribution warehouse space digital twin, a movement path information provider which selects a target location at which an article is to be stored based on the visualized distribution warehouse space digital twin and provides information a path through which the forklift truck is movable to the target location, and a height adjustment information provider which provides forklift height adjustment information of the forklift truck according to a location of a storage cell corresponding to the article storage when the forklift truck arrives at the article storage corresponding to the target location.