基于视觉伺服的连续体机器人末端执行器控制

Le Chang, Rongjie Kang, Changchao Sun, Peikang Yuan, Tong Wang, Zhibin Song, J. Dai
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引用次数: 0

摘要

连续体机器人的精细操作仍然具有挑战性。关键是建立一个实时感知、快速响应、高精度的运动控制器。将视觉传感器集成到系统中可以提高末端位置控制的精度,同时最小化机器人模型中的不确定性。本文采用深度相机识别Aruco码,为连续体机器人提供姿态信息。然后根据姿态信息控制末端执行器实现水平直线位移并插入插座。实验结果表明,控制精度可以达到厘米级的精度。提出的方法扩展了连续体机器人的潜在场景。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Visual-Servo Based End-Effector Control for Continuum Robots
Delicate manipulation for continuum robots remains challenging. The key is to establish a motion controller with real-time perception, fast response, and high precision. Integrating visual sensors into the system can enhance the precision of end position control while minimizing uncertainties in the robot model. In this paper, a depth camera is used to identify the Aruco code to provide pose information to the continuum robot. Then the end-effector is controlled to achieve horizontal linear displacement and plug into a socket based on the pose information. Based on experimental findings, it has been demonstrated that the control accuracy can achieve a level of precision in the centimeter range. The presented methods expand the potential scenarios of the continuum robot.
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