An autonomous vehicle (AV) delivery system is configured to deliver a payload or package in a rural and/or urban environment. The AV delivery system includes a first autonomous vehicle (AV). The first AV is configured to travel between a payload receiving location and a payload drop location. The AV delivery system further includes a second autonomous vehicle (AV) coupled to the first AV. The second AV is coupled to a payload and configured to travel between the first AV and a designated drop target adjacent to a ground or receiving surface at the payload drop location.

The management server 2 calculates a total weight of a plurality of articles loaded on the UAV 1 on the basis of weights of the articles included in each of a plurality of orders, and determines whether or not the unmanned aerial vehicle is capable of loading and delivering the articles included in each of the plurality of orders by comparing a loadable weight of the UAV 1 with the calculated total weight.

Systems and methods to ensure safe driving behaviors in remote driving applications may include a vehicle having an imaging device and a teleoperator station in communication with each other via a network. For example, a safety tunnel having various safety tunnel parameters may be generated based on location data, map data, vehicle data, and/or sensor data. Remote operation of the vehicle may be monitored with respect to the safety tunnel parameters, and various visual, audio, and/or haptic alerts or feedback may be presented or emitted for the teleoperator to encourage or enforce vehicle operation within the safety tunnel parameters. Further, various autonomous remote operation programs or control routines may be initiated or instructed to ensure safe driving behaviors of the vehicle based on the safety tunnel parameters.

Systems and methods for deployment on an autonomous vehicle are provided. In some example embodiments, the system includes a first compute unit and a second compute unit, in which the first compute unit is configured to receive first information of the vehicle and an environment of the vehicle, generate a first control command based on the first information, and transmit the first control command to a controller of the vehicle to effectuate an autonomous operation of the vehicle; and the second compute unit is configured to receive second information of the vehicle and the environment of the vehicle, generate a second control command based on the second information, and only when a fault or failure of the first compute unit is detected, transmits the second control command to the controller of the vehicle to effectuate the autonomous operation of the vehicle.

A method and system are provided for task allocation for a material handling system with autonomous mobile robots (AMR) operating within a material handling facility. The AMRs are configured to self-select tasks to perform utilizing a computer based warehouse execution system (WES) utilizing a pending workflow list of tasks to be performed within the material handling facility. The AMRs include onboard computers for communicating with the WES and to self-select tasks from the pending workflow list. The AMR may be directed to a prioritized task or task queue, and the WES may lock an AMR to a task or task queue until the task or tasks are performed, or until the AMR determines that the AMR should be reassigned or otherwise relieved of the task or task queue. The AMRs are thus adapted to independently self-select tasks, where the AMR and/or WES may enable the AMR to self-select tasks.

An autonomous transportation network (10) and method (100a, 100b, 100c) of operation is disclosed. The autonomous transportation network (10) comprises a plurality of autonomous vehicles (20) with an onboard processor (27) and vehicle memory (28) for locally calculating (240, 310) a route (50) between an origin (30) and a destination (40) and a vehicle antenna (25) for transmitting the calculated route (50). A control management center (100) comprises a control management processor (120) and a central memory (140) and independently calculates (250, 520) the routes (50) of the plurality of autonomous vehicles (20). A plurality of beacons (17) is connected to the control management center (100) and receives redirection information from the control management center (100) for transmission to one or more of the plurality of autonomous vehicles (20).

Disclosed herein are various configurable, multifunctional area management carts that can be used to perform various functions in a large area such as a warehouse or retail building, along with various multifunctional area management systems that incorporate such carts to perform such functions. The cart can have a base comprising wheels operably coupled to the base, and a hitch operably coupled to the base, wherein the hitch is coupleable with the autonomous prime mover. The cart can also comprise an onboard processor associated with the base, wherein the onboard processor is in communication with the central processor, and an interface associated with the base, wherein the interface is in communication with the onboard processor. Certain alternative versions of the cart can also have at least one removable scaffold coupleable with the base, the at least one removable scaffold comprising at least one leg and at least one horizontal structure coupled to the at least one leg, and at least one area management instrument removably coupled to the at least one removable scaffold. Other embodiments relate to methods and systems for tracking and transporting items within a commercial space, including transporting items from a storage area to predetermined locations in a retail area with an autonomous vehicle.

A self-driving device control system of the present invention includes an entry restricted area, at least one entrance opened and closed by a closing member, a self-driving device, and a control device, and further includes an outside identification device, an inside identification device, and a storage device. When identification information is acquired by the outside identification device, the control device sets the self-driving device to a stopped state. If the storage device is not storing even one piece of entry identification information regarding a worker for which a corresponding piece of exit identification information regarding the same worker is not stored in the storage device, and furthermore all of the entrances are in a passage restricted state, the control device resumes the driving of the self-driving device.

This application provides an outbound method and a device, and relates to the field of goods transporting device technologies. The method may include: determining at least one outbound sequence, where the outbound sequence includes at least one outbound group, and the outbound group includes at least one outbound container; assigning a transporting task of the outbound container to a robot according to the at least one outbound sequence; and carrying out an outbound operation of the at least one outbound container according to a task execution state of the transporting task and the at least one outbound sequence.

A system has been developed to facilitate hands-free autonomous control of material handling equipment or vehicles, such as forklifts and pallet trucks. The system has been designed to facilitate visual tracking by the automated vehicle and further facilitates voice commands. In some use cases, visual tracking is only used, and in other cases only voice commands are used. In other cases, both visual tracking and voice commands are used to control the material handling vehicle. For visual tracking, one or more cameras are configured to capture one or more images of a fiducial. In one case, the vehicle moves, turns, and/or stops based on the movement of the fiducial. For voice control, the operator provides voice commands via a voice controller. The voice controller converts the voice commands to vehicle control commands that are sent to a remote receiver unit (RRU) in the vehicle.