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双机器人协同磨削与抛光系统的运动学标定及轨迹跟踪研究

Research on Kinematic Calibration and Trajectory Tracking of the Dual-Robot Collaborative Grinding and Polishing System.

作者信息

Yan Wenduan, Xu Luwei, Sun Yifang, Xu Hongjie, Ji Zhifei

机构信息

School of Optoelectronic and Mechanical Engineering, Minnan University of Science and Technology, Quanzhou 362700, China.

School of Advanced Manufacturing, Fuzhou University, Quanzhou 362551, China.

出版信息

Sensors (Basel). 2025 Jun 30;25(13):4075. doi: 10.3390/s25134075.

Abstract

This study proposes a systematic solution to the motion planning challenges in dual-robot collaborative grinding and polishing systems, with its effectiveness experimentally validated. By establishing a dual-robot pose constraint model, this study innovatively integrates the "handshake" method with the seven-point calibration approach, achieving enhanced spatial mapping accuracy between the base coordinate system and tool coordinate system. Based on the modified Denavit-Hartenberg (DH) method, this study establishes kinematic modeling for EPSON C4-A901S robots on the MATLAB platform. By integrating calibration parameters, a dual-robot collaborative grinding model is constructed, with its reliability thoroughly verified through comprehensive simulations. An experimental platform integrating dual EPSON C4-series robots with grinding devices, clamping fixtures, and drive systems was established. The average error below 8 mm from 10 repeated experiments fully validates the accuracy and practical applicability of the integrated calibration method.

摘要

本研究针对双机器人协同磨削与抛光系统中的运动规划挑战提出了一种系统解决方案,并通过实验验证了其有效性。通过建立双机器人位姿约束模型,本研究创新性地将“握手”方法与七点标定方法相结合,提高了基坐标系与工具坐标系之间的空间映射精度。基于改进的Denavit-Hartenberg(DH)方法,本研究在MATLAB平台上建立了爱普生C4-A901S机器人的运动学模型。通过整合标定参数,构建了双机器人协同磨削模型,并通过全面仿真充分验证了其可靠性。搭建了一个集成双爱普生C4系列机器人以及磨削装置、夹紧夹具和驱动系统的实验平台。10次重复实验的平均误差低于8mm,充分验证了集成标定方法的准确性和实际适用性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0888/12251577/be26b681960b/sensors-25-04075-g001.jpg

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