Abstract: A positioning and navigation method for a robot includes: receiving point cloud information of a current position and information of a target position sent by a robot, wherein the point cloud information of the current position is updated in real time; determining the current position of the robot according to the point cloud information; planning a plurality of motion paths according to the current position and the target position; searching for an optimal path among the plurality of motion paths by a predetermined heuristic search algorithm; and sending the current position of the robot and the optimal path to the robot, such that the robot moves according to the optimal path.

Abstract: The present disclosure relates to a method, device, computer readable storage medium, and electronic device for planning velocity of a mobile apparatus. The method for planning velocity of a mobile apparatus provided by embodiments of the present disclosure comprises: acquiring a target weight coefficient according to a target linear velocity of the mobile apparatus; determining a motion central angle of the mobile apparatus according to a current pose, a target pose, and the target weight coefficient of the mobile apparatus; and calculating a target angular velocity of the mobile apparatus according to the motion central angle and the target linear velocity. The method for planning velocity of a mobile apparatus provided by embodiments of the present disclosure may realize real-time planning of velocity of the mobile apparatus to reach the target pose more accurately.

Abstract: This application relates to the field of visual navigation technology, and discloses a localization method, apparatus, robot and computer storage medium. The localization method is applied to a robot having an autonomous location and navigation function. The localization method includes: determining that localization through an image of surrounding environment fails in a process of driving to a preset distance, and controlling the robot to decelerate and perform localization through an image of surrounding environment in a process of deceleration until the localization succeeds. The localization method enables the robot to reasonably adjust its running velocity in accordance with the environment during driving, thereby accurately localizing the location where the robot is located.

Abstract: A positioning and navigation method for a robot includes: receiving point cloud information of a current position and information of a target position sent by a robot, wherein the point cloud information of the current position is updated in real time; determining the current position of the robot according to the point cloud information; planning a plurality of motion paths according to the current position and the target position; searching for an optimal path among the plurality of motion paths by a predetermined heuristic search algorithm; and sending the current position of the robot and the optimal path to the robot, such that the robot moves according to the optimal path.

Abstract: A positioning and navigation method for a robot includes: receiving point cloud information of a current position and information of a target position sent by a robot, wherein the point cloud information of the current position is updated in real time; determining the current position of the robot according to the point cloud information; planning a plurality of motion paths according to the current position and the target position; searching for an optimal path among the plurality of motion paths by a predetermined heuristic search algorithm; and sending the current position of the robot and the optimal path to the robot, such that the robot moves according to the optimal path.

Abstract: A method, device, robot, electronic apparatus, and computer readable medium for controlling a movement of a robot is provided. The method includes: determining a current attitude, a target attitude and a moving speed of the robot; determining a moving path according to a third-order Bézier curve, the current attitude and the target attitude; determining a moving angular velocity according to the moving path and the moving speed; and controlling the robot to move at the moving speed and the moving angular velocity so as to reach the target attitude. The method, device, robot, electronic apparatus and the computer readable medium for controlling moving of a robot enable the robot to smoothly move from a start point to a target point.

Abstract: The present disclosure relates to a method, device, computer readable storage medium, and electronic device for planning velocity of a mobile apparatus. The method for planning velocity of a mobile apparatus provided by embodiments of the present disclosure comprises: acquiring a target weight coefficient according to a target linear velocity of the mobile apparatus; determining a motion central angle of the mobile apparatus according to a current pose, a target pose, and the target weight coefficient of the mobile apparatus; and calculating a target angular velocity of the mobile apparatus according to the motion central angle and the target linear velocity. The method for planning velocity of a mobile apparatus provided by embodiments of the present disclosure may realize real-time planning of velocity of the mobile apparatus to reach the target pose more accurately.

Abstract: This application relates to the field of visual navigation technology, and discloses a localization method, apparatus, robot and computer storage medium. The localization method is applied to a robot having an autonomous location and navigation function. The localization method includes: determining that localization through an image of surrounding environment fails in a process of driving to a preset distance, and controlling the robot to decelerate and perform localization through an image of surrounding environment in a process of deceleration until the localization succeeds. The localization method enables the robot to reasonably adjust its running velocity in accordance with the environment during driving, thereby accurately localizing the location where the robot is located.