A remote control device is a remote control device configured to control one or more mobile objects via a network, which includes a receiver configured to receive mobile object information including a first state quantity of a state quantity of the mobile object and surrounding information around the mobile object, a trajectory generation unit configured to generate a target trajectory of the mobile object on the basis of the surrounding information, a mobile object estimation unit configured to estimate transmission latency of the network, a gain setting unit configured to set a control gain on the basis of the transmission latency, a control amount calculation unit configured to calculate a control amount for causing the mobile object to follow the target trajectory on the basis of the mobile object information and the control gain, and a transmitter configured to transmit the control amount to the mobile object.

An apparatus including an indicator and a video sensor arranged to generate sensor data dependent on a state of the indicator, control circuitry configured to select the state of the indicator, to process instructions received in the apparatus from a remote driving station, to provide to the remote driving station the sensor data and to at least one of: provide to the remote driving station an indication of the indicator's selected state to enable the remote driving station to detect a malfunction in the sensor data, and obtain an observation of the state of the indicator, based on the sensor data, and determine whether the observation and the selected state of the indicator are consistent, to detect a malfunction in the sensor data, wherein the apparatus is a remotely operated vehicle, or configured to be installed in one.

An apparatus including an indicator and a video sensor arranged to generate sensor data dependent on a state of the indicator, control circuitry configured to select the state of the indicator, to process instructions received in the apparatus from a remote driving station, to provide to the remote driving station the sensor data and to at least one of: provide to the remote driving station an indication of the indicator's selected state to enable the remote driving station to detect a malfunction in the sensor data, and obtain an observation of the state of the indicator, based on the sensor data, and determine whether the observation and the selected state of the indicator are consistent, to detect a malfunction in the sensor data, wherein the apparatus is a remotely operated vehicle, or configured to be installed in one.

A transportation vehicle, an infrastructure component, an apparatus, a computer program, and a method for a transportation vehicle to be remotely operated by a remote driver in a remote driving mode and to be operated at least partially automatically in an automated driving mode. The method includes determining driving preferences of a remote driver from the driving behavior of the remote driver, predicting information on a future traffic situation for switching from the automated driving mode to the remote driving mode, determining a predicted quality of service (pQoS) of a communication link for the remote driving mode, predicting a remote operation interval for which the transportation vehicle is at least operable in the remote driving mode based on the pQoS and the information on the future traffic situation, and deciding for or against a change from the automated driving mode to the remote driving mode.

A movement control system (1000) includes at least one moving body (1), a sensor (3) configured to transmit movement region information related to a movement region of the moving body, a route generating unit (440) configured to generate a route for the moving body to move through the movement region, based on the movement region information received via a network, and a moving body control unit (450) configured to control movement of the moving body, based on the route. The route generating unit is configured to generate an avoidance route for avoiding a second region including a first region representing a position of an object existing in the movement region and a surrounding region at the first region. The moving body control unit is configured to control the moving body based on the avoidance route.

This application provides a fleet control method and apparatus, an electronic device, and a storage medium. The fleet control method is used for controlling a robot fleet and includes: determining a planned path of each robot in the robot fleet, where the planned path of each robot is used to indicate a movement path for the robot to move to a corresponding target storage location within a shelving unit region to execute a task; determining a following road segment in the planned path of each following robot based on the planned path of each robot, where the following road segment includes a road segment located on the ground and/or a road segment extending in a vertical direction; and sending the following road segment to a corresponding following robot.

A system for managing flight parameters of aircraft is parametrized with overarching flight cost objectives. For a first flight, parameters of a cost function for the first flight are determined relative, respectively, to different cost factors. Flight parameters are optimized so as to minimize the cost function. Avionics of an aircraft carrying out the first flight are programmed with the flight parameters. On detecting an event in flight requiring the flight parameters to be revised, the parameters of the cost function are recalculated, as well as the flight parameters, and the avionics are reprogrammed accordingly. The method is repeated for at least a second flight, taking into account the effective contribution of the first flight to the overarching objectives, and so on. Thus, an airline can carry out overarching multi-objective optimization on its flights.

This application provides an obstacle avoidance method and apparatus, an electronic device, and a storage medium. The obstacle avoidance method is applicable to a robot. The robot is configured to move along a track in a rack area, and the method includes: detecting whether a suspected obstacle exists in a traveling direction, where the suspected obstacle protrudes beyond an edge of a rack; determining a relative position relationship between the suspected obstacle and a target position that the robot is required to reach along a current traveling direction when the suspected obstacle exists in the traveling direction; determining that the suspected obstacle is an obstacle when the suspected obstacle is located between a current position of the robot and the target position; and replanning a traveling route to avoid the obstacle.

Systems, methods, and autonomous vehicles may obtain sensor data associated with an environment surrounding an autonomous vehicle; provide the sensor data to a plurality of plugins; independently determine, with each plugin, based on the sensor data, whether to request a remote guidance session for the autonomous vehicle, each plugin of the plurality of plugins including a different model that is applied by that plugin to the sensor data to determine whether to request the remote guidance session; receive, from at least one plugin, a request to initiate the remote guidance session; and in response to receiving the request to initiate the remote guidance session, communicate with a computing device external to the autonomous vehicle to establish the remote guidance session.

Systems and techniques are provided for management of autonomous cargo by autonomous vehicles (AVs). An example method can include determining, based on data from one or more sensors, a location for deploying a ramp that enables robots to enter the AV, the location comprising an area free of obstacles having one or more dimensions above a threshold; generating an instruction configured to trigger the AV to stop at the location; based on a determination that the AV is at the stopping position, deploying the ramp; sending, to the robots, a message instructing the robots to enter a cabin of the AV via the ramp and guiding each robot to a respective location within the cabin; and based on a determination that the AV has reached a destination of one or more robots, deploying the ramp and guiding the one or more robots to exit the cabin via the ramp.