Real- Time Trajectory Prediction and Localization of Omni-directional Badminton Robot

Avinash Kumar, Prathamesh Vhatkar, Hrijul Shende, Ashitosh D. Chavan, Kaliprasad A. Mahapatro
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Abstract

This paper proposes a strategy to predict the accurate shuttlecock trajectory and motion planning of the badminton robot using Kalman filter and Proportional-Integral-Derivative (PID) control. A PID control is used to accurately control and hold the position of the robot in a standard indoor badminton court. The conventional Kalman Filter and its various versions are mostly used to acquire the current state of the system, but the proposed modified Kalman Filter in this paper is used to predict the accurate trajectory of the shuttlecock. The effectiveness of the proposed strategy is validated experimentally for different trajectories and motion planning.
全方位羽毛球机器人的实时轨迹预测与定位
本文提出了一种利用卡尔曼滤波和比例-积分-导数(PID)控制对羽毛球机器人的准确羽毛球轨迹和运动规划进行预测的策略。在标准室内羽毛球场上,采用PID控制对机器人的位置进行精确控制和保持。传统的卡尔曼滤波器及其各种版本大多用于获取系统的当前状态,而本文提出的改进卡尔曼滤波器用于准确预测毽子的运动轨迹。针对不同的运动轨迹和运动规划,实验验证了该策略的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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