A work site equipment grouping system includes a plurality of work machines including a first work machine and a second work machine. Each work machine is configured to wirelessly communicate with other work machines. The system further includes a local area network including a plurality of communicatively connected nodes, the nodes including the first work machine and the second work machine. The system further includes a third work machine configured to detect one of the first work machine or the second work machine within a signal range of the third work machine and, upon detecting one of the first work machine or the second work machine, automatically join the local area network.

A method of controlling movement of multi-vehicle includes acquiring a constraint condition under which vehicles move and a calculation cycle for calculating movement routes of the vehicles; acquiring a position of each vehicle; specifying a target position for each vehicle; calculating, based on the position of each vehicle, the target position, and the constraint condition, a movement route for prediction steps of each vehicle; determining, based on the movement routes of the vehicles, a driving condition of each vehicle from a current time to a unit time; and controlling movement of each vehicle. Calculating the movement route including performing optimization calculation based on an evaluation function, evaluation of which becomes higher as a deviation between the vehicle and the target position for each prediction step becomes smaller, and the constraint condition, to calculate the movement route.

A robot system includes a base, a robot arm coupled to the base, a movement mechanism that moves the base, an input unit to which a target position of the base is input, a control unit that controls actuation of the movement mechanism based on the target position input to the input unit, a detection unit that detects a difference between a stop position of the base after the movement of the base by the movement mechanism is completed and the target position, and a memory unit that stores information on the difference detected by the detection unit. When the base is moved, the control unit sets a set target position where the base should stop according to the information already stored in the memory unit.

A method of configuring robot fleets with additive manufacturing capabilities includes receiving a request for a robotic fleet to perform a job and determining a job definition data structure based on the request. The job definition data structure defines a set of tasks to be performed in furtherance of the job. The method includes determining a provisioning configuration for each additive manufacturing system based on the task to which the additive manufacturing system is assigned, the set of 3D printing requirements, the printing instructions, and the status of the additive manufacturing system. The method includes provisioning the additive manufacturing system based on the provisioning configuration and a set of additive manufacturing system provisioning rules that are accessible to an intelligence layer to ensure that provisioned systems comply with the provisioning rules. The method includes deploying the robotic fleet based on the robotic fleet configuration data structure to perform the job.

A hybrid modular storage fetching system with a robot execution system (REX) is described. In an example implementation, a REX may induct, into the hybrid modular storage fetching system, an order identifying items to be fulfilled by automated guided vehicles (AGVs) at an order fulfillment facility. The REX may generate at task list including tasks for a first and second AGV, instruct the first AGV to retrieve a first item in the order from a first storage area based on the task list and deliver the first item to a pick-cell station. The REX may also instruct the second AGV to retrieve a second item of the order from a second storage area and deliver the second item to the pick-cell station. The REX may communicate with other components of the hybrid modular storage fetching system to coordinate the paths of the AGVs to fulfill the order.

A modular mobility base for a modular autonomous bot apparatus transporting an item being shipped including a mobile base platform, a component alignment interface, a mobility controller, a propulsion and steering system, and sensors. The component alignment interface provides an alignment channel into which another modular component can be placed and secured on the platform. The mobility controller generates propulsion control signals for controlling speed of the modular mobility base and steering control signals for navigation of the modular mobility base. The propulsion system is connected to the platform and responsive to the propulsion control signal. The steering system is connected to the mobile base platform and is responsive to the steering control signal to cause changes to directional movement of the modular mobility base. The sensors are disposed on the platform provide feedback sensor data to the mobility controller about a condition of the modular mobility base.

Autonomous vehicles including ladders and related methods are disclosed. An example system includes an autonomous vehicle including an integrated ladder and a processor to detect a state of the ladder as being in one of a stowed state, a deployed state, or a use state; in response to detecting that the ladder is in the stowed state, cause the autonomous vehicle to operate in a first drive mode and a second drive mode; in response to detecting that the ladder is in the deployed state, cause the autonomous vehicle to operate in the second drive mode and to restrict from operating in the first drive mode; and in response to detecting that the ladder is in the use state, cause the autonomous vehicle to refrain from operating in the first drive mode and the second drive mode.

Described herein is a method for setting up and/or reconfiguring an industrial plant, in particular for the manufacture of motor vehicles or sub-assemblies thereof. The method includes providing a plurality of mobile processing stations, each mobile processing station comprising a palletisable platform and at least one interface unit provided on the palletisable platform and configured for the coupling of the mobile processing station with one or more further adjacent mobile processing stations; arranging mobile processing stations according to a pre-set layout; and coupling at least one interface unit of each mobile processing station with the at least one interface unit of one or more further mobile processing adjacent stations thereto. Each interface unit includes at least one of the following: an electrical and/or electronic coupling device; a fluidic coupling device; and a mechanical coupling device.

The present invention relates to an autonomous driving mobile service robot warehousing and delivery system that is capable of systematically storing and delivering a plurality of robot bodies from line parts by means of a server and comparing the number of delivery times of the robot bodies by line part to allow the robot bodies to be delivered sequentially from the line part having the smallest number of delivery times, thereby distributing the usage rate of the robot bodies disposed by line part.

Methods and systems for joint execution of complex tasks by a human and a robotic system are described herein. In one aspect, a collaborative robotic system includes a payload platform having a loading surface configured to carry a payload shared with a human collaborator. The collaborative robotic system navigates a crowded environment, while sharing a payload with the human collaborator. In another aspect, the collaborative robotic system measures forces in a plane parallel to the loading surface of the payload platform to infer navigational cues from the human collaborator. In some instances, the collaborative robotic system overrides the navigational cues of the human collaborator to avoid collisions between an object in the environment and any of the robotic system, the human collaborator, and the shared payload.