Abstract: The present disclosure provides a motion target direction angle obtaining method and a robot using the same. The method includes: creating an absolute coordinate system, and obtaining an absolute position coordinate of at least one point after the first point in the absolute coordinate system; creating a relative coordinate system with the first point as an origin, and obtaining a relative position coordinate corresponding to the at least one point in the relative coordinate system; calculating matrix parameters of a transformation matrix based on the absolute position coordinate of the at least one point and the relative position coordinate corresponding to the at least one point; and determining a direction angle of the motion target at the first point based on the matrix parameters. The present disclosure combines an absolute positioning method and a relative positioning method to calculate the direction angle.

Abstract: The present disclosure relates to robot technology, and particularly to a method, a device, and a robot for identifying charging station. The method includes: first, obtaining scanning data produced by a radar of the robot; then, determining whether an arc-shaped object exists in a scanning range of the radar of the robot based on the scanning data; finally, in response to determining that the arc-shaped object exists in the scanning range of the robot, determining that the arc-shaped object is a charging station. Compared with the prior art, the present disclosure substitutes the arc identification for the conventional concave-convex structure identification. Since the surface of the arc is relatively smooth, the data jumps at the intersection of the cross-section will not occur, hence the accuracy of charging station identification can be greatly improved.

Abstract: A computer-implemented method for localizing a robot comprising an ultra wideband (UWB) localization device, at least one sensor and a particle filter localization device. The method comprising executing on a processor steps of: acquiring first location information of the robot through the UWB localization device; acquiring second location information within a range defined by the first location information through the at least one sensor, wherein the second location information comprising current location information and running orientation data of the robot; and determining, by the particle filter localization device, whether there exists a localization point matching the second location information in data of a preset map; if so, determining that the second location information is valid location information of the robot.

Abstract: The present disclosure provides an omni wheel mileage calibration method and apparatus, as well as a robot using the wane. The method includes: (a) calibrating the omni wheel through a linear motion to obtain a straight line calibration result; (b) calibrating the omni wheel through a rotational motion to obtain a rotation calibration result; (c) performing error verification to the straight line calibration result and the rotation calibration result along a preset movement trajectory having a loop to obtain an error verification result; (d) determining a straight line calibration corresponding to the straight line calibration result and a rotation calibration corresponding to the rotation calibration result being successful in response to the error verification result meeting a preset precision requirement. The present disclosure provides a mileage calibration method for an omni wheel system, which improves the operation precision of a robot.

Abstract: The present disclosure discloses a robot recharge control method, a robot and a robot system. The robot recharge control method includes: moving a robot to a first position of one of two edge lines of a preset detection signal region; moving the robot from the first position to a second position of the other edge line of the preset detection signal region; moving the robot from the second position to a midpoint of a line connecting the first position and the second position; and moving the robot from the midpoint to the dock section of the charging base. By detecting the two edge lines of the preset detection signal region, the first position and the second position which are axisymmetric with respect to the dock section are found, and then a center point corresponding to the dock section is found through the first position and the second position.