Provided are methods for agent prioritization, which can include determining a primary agent set and generating, based on the primary agent set, a trajectory for the autonomous vehicle. Some methods described also include determining an interaction parameter of agents in the environment. Systems and computer program products are also provided.

A computing device can track an operator's head movements and move a lighting system and/or other motor control operations controlled by one or more auxiliary devices according to the operator's head movements via a motor control processor. The motor control processor can facilitate movement by one or more auxiliary devices by continuously monitoring the operator's head movements via camera and moving the auxiliary devices in a manner that mimics the motion of the operator's head. The auxiliary devices may move the lighting system and/or other motor control system in one or more dimensions. The operator can move the lighting system and illuminate a specific area with a head movement. The lighting system can dynamically direct lighting in the direction that the operator is facing while freeing the operator's hands for a primary task.

A computing device can track an operator's head movements and move a lighting system and/or other motor control operations controlled by one or more auxiliary devices according to the operator's head movements via a motor control processor. The motor control processor can facilitate movement by one or more auxiliary devices by continuously monitoring the operator's head movements via camera and moving the auxiliary devices in a manner that mimics the motion of the operator's head. The auxiliary devices may move the lighting system and/or other motor control system in one or more dimensions. The operator can move the lighting system and illuminate a specific area with a head movement. The lighting system can dynamically direct lighting in the direction that the operator is facing while freeing the operator's hands for a primary task.

A transportation system having a transportation space including destinations distributed in the transportation space, multiple independent automated vehicles configured for free roving through the transportation space to and between the destinations so that the vehicles are dynamically distributed through the transportation space, a control system communicably connected via a remote communication link to each of the vehicles and having a system controller that addresses each vehicle to different destinations, and the control system having a vehicle accountant controller separate and distinct from the system controller and configured to independently register a dynamic location of at least one of the vehicles, selected from the multiple vehicles in the transportation space, and command shutdown, via the remote communication link, to only the selected at least one vehicle at the registered location if the registered location corresponds to a predetermined location.

A remote control system that remotely controls an operation of a control target. The system includes a remote control device; and a prediction processing device. The remote control device includes a transmitter that transmits a control signal for controlling an operation of a remote control target to the control target, and the prediction processing device includes a delay time prediction processing unit that predicts a delay time from transmission of the control signal from the remote control device to feedback to control of the operation of the remote control target. The prediction processing device further includes a generation unit that generates a control signal for controlling an operation for the remote control device.

A remote control system that remotely controls an operation of a control target. The system includes a remote control device; and a prediction processing device. The remote control device includes a transmitter that transmits a control signal for controlling an operation of a remote control target to the control target, and the prediction processing device includes a delay time prediction processing unit that predicts a delay time from transmission of the control signal from the remote control device to feedback to control of the operation of the remote control target. The prediction processing device further includes a generation unit that generates a control signal for controlling an operation for the remote control device.

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.

Methods, systems and apparatus, including computer programs encoded on computer storage media for unmanned aerial vehicle beyond visual line of sight (BVLOS) flight operations. In an embodiment, a flight planning system of an unmanned aerial vehicle (UAV) can identify handoff zones along a UAV flight corridor for transferring control of the UAV between ground control stations. The start of the handoff zones can be determined prior to a flight or while the UAV is in flight. For handoff zones determined prior to flight, the flight planning system can identify suitable locations to place a ground control station (GCS). The handoff zone can be based on a threshold visual line of sight range between a controlling GCS and the UAV. For determining handoff zones while in flight, the UAV can monitor RF signals from each GCS participating in the handoff to determine the start of a handoff period.

Methods, systems and apparatus, including computer programs encoded on computer storage media for unmanned aerial vehicle beyond visual line of sight (BVLOS) flight operations. In an embodiment, a flight planning system of an unmanned aerial vehicle (UAV) can identify handoff zones along a UAV flight corridor for transferring control of the UAV between ground control stations. The start of the handoff zones can be determined prior to a flight or while the UAV is in flight. For handoff zones determined prior to flight, the flight planning system can identify suitable locations to place a ground control station (GCS). The handoff zone can be based on a threshold visual line of sight range between a controlling GCS and the UAV. For determining handoff zones while in flight, the UAV can monitor RF signals from each GCS participating in the handoff to determine the start of a handoff period.

A remote support system is a remote support system for one remote operator to remotely support a plurality of mobile objects. The remote support system includes a situation acquisition unit, a support difficulty level calculation unit, and a notification unit. The status acquisition unit acquires the work status of the remote operator based on information transmitted from an operator interface operated by the remote operator. The assistance difficulty level calculation unit calculates the assistance difficulty level of the remote operator based on the work status of the remote operator. The notification unit notifies the mobile objects of the assistance difficulty level.