Disclosed are an automatic recharging method, a device, a storage medium and a system, which belong to the field of computer technology. The method may include: starting an image acquisition component to acquire an automatic recharging image during an automatic recharging process; determining, when the automatic recharging image contains a feature identification, the relative positional relationship between a charging surface of a charging base and the automatic recharging device based on the position of the feature identification in the automatic recharging image; displaying the feature identification on the charging surface of the charging base; determining a movement direction of the automatic recharging device based on the relative positional relationship, to make the automatic recharging device move toward the charging surface of the charging base.

A method for remote control of a robot includes specifying a target robot for which a boarding event with respect to a movement means has occurred; controlling driving of the target robot in response to the movement means stopping at a specific area where the target robot is located so that the target robot boards the movement means; on the basis of an occupation state of a reception space provided in the movement means, determining a target occupation position of the target robot in the reception space; and transmitting a control command related to the target occupation position to the target robot so that the target robot moves to the target occupation position.

Systems and methods of manipulating/controlling robots. In many scenarios, data collected by a sensor (connected to a robot) may not have very high precision (e.g., a regular commercial/inexpensive sensor) or may be subjected to dynamic environmental changes. Thus, the data collected by the sensor may not indicate the parameter captured by the sensor with high accuracy. The present robotic control system is directed at such scenarios. In some embodiments, the disclosed embodiments can be used for computing a sliding velocity limit boundary for a spatial controller. In some embodiments, the disclosed embodiments can be used for teleoperation of a vehicle located in the field of view of a camera.

A remote support system performs a remote support of a moving body. The remote support system includes processing circuitry. The processing circuitry is configured to acquire, via communication, a first video shot with a first infrastructure camera installed in a target area in which the moving body moves. The processing circuitry is configured to present the first video to a remote supporter to perform the remote support for the moving body. When an abnormality occurs in the first video, the processing circuitry is configured to execute an abnormality handling process to resolve the abnormality in the first video or to present a substitute video to the remote supporter instead of the first video.

Systems and methods of manipulating/controlling robots. In many scenarios, data collected by a sensor (connected to a robot) may not have very high precision (e.g., a regular commercial/inexpensive sensor) or may be subjected to dynamic environmental changes. Thus, the data collected by the sensor may not indicate the parameter captured by the sensor with high accuracy. The present robotic control system is directed at such scenarios. In some embodiments, the disclosed embodiments can be used for computing a sliding velocity limit boundary for a spatial controller. In some embodiments, the disclosed embodiments can be used for teleoperation of a vehicle located in the field of view of a camera.

A working robot system including a working robot configured to output its self-position information on a field, an imaging apparatus configured to capture an image of the field, and a controller configured to acquire the image of the field captured by the imaging apparatus and the self-position information output by the working robot is provided. Based on the position of the working robot on the captured image and the self-position information output by the working robot, the controller assigns position information to the remaining parts of the captured image.

Systems and methods of manipulating/controlling robots. In many scenarios, data collected by a sensor (connected to a robot) may not have very high precision (e.g., a regular commercial/inexpensive sensor) or may be subjected to dynamic environmental changes. Thus, the data collected by the sensor may not indicate the parameter captured by the sensor with high accuracy. The present robotic control system is directed at such scenarios. In some embodiments, the disclosed embodiments can be used for computing a sliding velocity limit boundary for a spatial controller. In some embodiments, the disclosed embodiments can be used for teleoperation of a vehicle located in the field of view of a camera.

Systems and methods of manipulating/controlling robots. In many scenarios, data collected by a sensor (connected to a robot) may not have very high precision (e.g., a regular commercial/inexpensive sensor) or may be subjected to dynamic environmental changes. Thus, the data collected by the sensor may not indicate the parameter captured by the sensor with high accuracy. The present robotic control system is directed at such scenarios. In some embodiments, the disclosed embodiments can be used for computing a sliding velocity limit boundary for a spatial controller. In some embodiments, the disclosed embodiments can be used for teleoperation of a vehicle located in the field of view of a camera.

An imaging system includes: an unmanned flight vehicle; an imager that is mounted on the unmanned flight vehicle and takes an image of a robot which performs work with respect to a target object; a display structure which is located away from the unmanned flight vehicle and displays the image taken by the imager to a user who manipulates the robot; and circuitry which controls operations of the imager and the unmanned flight vehicle. The circuitry acquires operation related information that is information related to an operation of the robot. The circuitry moves the unmanned flight vehicle such that a position and direction of the imager are changed so as to correspond to the operation related information.

According to the remote assistance method of the present disclosure, first, a positional relationship between the vehicle having an autonomous traveling function and an object present around the vehicle at a future time beyond a current time is displayed spatially on a display device, the positional relationship being predicted based on a path plan for autonomous traveling created by the vehicle and information on the object. Next, assistance content input from a remote operator is transmitted to the vehicle. Then, remote assistance corresponding to the assistance content is executed in the vehicle in response to confirmation that the positional relationship between the vehicle and the object displayed on the display device when the assistance content is input is realized after the vehicle receives the assistance content.