An unmanned aerial vehicle (UAV) control method includes: obtaining a distance between the UAV and a home point; obtain, based on the distance, a first image captured by photographing a home point with a first photographing device; sending the first image to a terminal device for display; and upon receiving a first control instruction sent by the terminal device, adjusting an attitude of the UAV based on the first control instruction. The present disclosure can improve the safety of the UAV during returning and landing. A UAV, a system and a storage medium are also provided.

A remote operation system for a moving body, includes: a control device provided on the moving body; and an operation terminal configured to receive input from a user and to communicate with the control device. The moving body includes an external environment sensor that acquires surrounding information of the moving body and a display device. The control device creates a surrounding image including the moving body based on the surrounding information, makes the display device display the surrounding image, and in a case where communication between the control device and the operation terminal is performed, makes the display device display the surrounding image in which at least a part of a communication status display showing a status of communication with the control device is superimposed on an image of the moving body included in the surrounding image.

A remote operation control method for controlling a remote operation of a moving body is provided. A video captured by a camera mounted on the moving body is transmitted to a remote operator terminal on a side of a remote operator remotely operating the moving body. The remote operation control method includes: setting an upper limit speed of the moving body during the remote operation to be lower as a quality of the video transmitted from the moving body to the remote operator terminal becomes lower or as an encoding and decoding time of the video becomes longer; and limiting a speed of the moving body during the remote operation to the upper limit speed or less regardless of an operation amount input by the remote operator.

The present disclosure generally relates to autonomous operation of material handling vehicles within a facility, such as a factory or warehouse. An unmanned, autonomous material handling vehicle can encounter a variety of issues operating within the facility, and may need assistance to resolve such issues. The unmanned, autonomous material handling vehicle can transmit a request for assistance to a manned, non-autonomous material handling vehicle, and a human operating the manned, non-autonomous material handling vehicle can assist the unmanned, autonomous material handling vehicle.

A system and a method of controlling a drone based on pressure are provided. The method includes: installing a pressure sensor under a bearing surface of a platform body; obtaining a pressure distribution map via the pressure sensor; obtaining a centroid on the bearing surface by inputting the pressure distribution map to a machine learning model; calculating a vector from a reference centroid on the bearing surface to the centroid; and controlling a flight of the drone according to the vector.

A method for controlling an unmanned aerial vehicle using a control apparatus, comprises: executing a navigation process by: obtaining a live video moving image from a navigation camera device of the UAV; and generating a navigation display interface for display on a display device of the control apparatus, the navigation display interface comprising a plurality of navigation augmented reality display elements related to a determined waypoint superimposed over the live video moving image; and when the UAV reaches the determined waypoint, executing a precision landing process by: generating a precision landing display interface for display on the display device, the precision landing display interface comprising a plurality of precision landing AR display elements related to a landing target associated with the determined waypoint superimposed over the live video moving image obtained from a precision landing camera device of the UAV.

An apparatus includes a device. The device is configured to store a travel trajectory of a driving maneuver of a vehicle associated with repeated performance of the driving maneuver. The device is configured to cause a travel trajectory of the vehicle to be recorded while the vehicle is traveling. The device is also configured to determine a shortened section of the recorded travel trajectory. The device is configured to store the shortened section of the recorded travel trajectory in a memory unit associated with the repeated performance of the driving maneuver.

Disclosed herein is a method and system for flying rotary wing drone. An add-on flight camera that is free to rotate around the vehicle's yaw axis is attached to the drone. The flight camera is automatically looking in the direction of its flight. The video from the flight camera is streamed to the operator's display. Thus the rotary wing drone can fly in any direction with respect to its structure, giving the operator a first person view along the flight path, thus keeping high level of situational awareness to the operator. The information required for controlling the camera orientation is derived from sensors, such as GPS, magnetometers, gyros and accelerometer. As a backup mode the information can be derived from propeller commands or tilt sensors.

Various embodiments for controlling a state of an autonomous vehicle that is to meet a user are provided. A receiver receives location information indicating a current location of the user. A memory stores a plurality of states of the autonomous vehicle. Each of the states at least one of visually or audibly distinguishes the autonomous vehicle. A sensor senses an environment of the autonomous vehicle to obtain environment information. A distance from a place of meeting the user to the current location of the user is calculated based on the location information. A first state is selected in accordance with the environment information. The autonomous vehicle is caused to change from a second state to the first state when the distance from the place of meeting the user to the current location of the user becomes smaller than or equal to a predetermined distance.

A robot control method includes receiving an image of a space where a robot drives; receiving driving information related to driving of the robot, from the robot; controlling a display unit to output a graphic object corresponding to the driving information, together with the image; and determining a visual characteristic of the graphic object based on the driving information, wherein the controlling includes controlling the display unit to output the graphic object in an overlapping manner with the image.