Linear Control Method for Serving Trajectory of Tennis Training Robot
In order to accurately control the hitting trajectory and movement route of tennis training robots,and help athletes cul-tivate their ability and adaptability to different balls,a linear control method for the serving trajectory of tennis training robots is proposed.Using computer 3D vision acquisition method to collect and analyze the image of the serving trajectory of tennis training robots,the CLAHE algorithm is used to enhance the collected image of the serving trajectory of tennis training robots,and a tem-plate tree structure is used to manage and store multiple serving trajectory of tennis training robots.The template tree structure is used to manage and store the service action trajectories of several tennis training robots.Convolutional Neural Networks(CNNS)are used to obtain the estimation of the trajectories.To improve accuracy and stability,the weighted average of all CNN estimates is used to optimize the update output to obtain the final control result.The experimental results show that the proposed method has good image enhancement effect,and has high accuracy and efficiency in motion trajectory control.It is suitable for linear control of serve trajectory of tennis training robots.
Tennis Training RobotService Action TrajectoryTrack Linear CaptureCLAHE AlgorithmTem-plate TreeComputer 3d Vision
万方数据
维普
