Humanoid robots play chess using visual control

This paper mainly considers the humanoid robot vision system and the type of its joint structure, and designs a set of effective planning strategies for the robots grabbing the chess pieces from the chess board and places them into the designated positions and ensures their success in the chess game. The core content of this paper is the design of the humanoid robot performing the operation of chess. The main procedure of the humanoid robot performing the operation of the next chess game is as follows: firstly, the image is acquired by the vision system mounted on the camera of the humanoid robot; secondly, the pixel position of the checkerboard corner point is obtained through the image processing; furthermore, a target position is set for the humanoid robot and then the improvement is performed to let it become more efficiencies. The monocular distance ranging algorithm is used to obtain the actual position of the corner point of the checkerboard. Finally, the robot kinematics accurately controls the humanoid robot to perform an operation of grabbing the chess to place the chess to the specified position successfully. The superiority of the proposed work is that it can be for various complex conditions. In the three-dimensional environment, the visual system of the NAO robot was firstly used to perceive its surrounding environment, and then the image processing technology was used to identify the chess position. The first general remark is that this work can be conceived as a good technological/engineering achievement.