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清华大学学报(自然科学版)  2022, Vol. 62 Issue (9): 1508-1515    DOI: 10.16511/j.cnki.qhdxxb.2022.21.026
  机械工程 本期目录 | 过刊浏览 | 高级检索 |
面向仓储物流的平面索并联机器人视觉自标定方法
李政清1, 侯森浩1, 韦金昊1, 唐晓强1,2,3
1. 清华大学 机械工程系, 北京 100084;
2. 清华大学 摩擦学国家重点实验室, 北京 100084;
3. 清华大学 精密超精密制造装备及控制北京市重点实验室, 北京 100084
Vision-based auto-calibration method for planar cable-driven parallel robot for warehouse and logistics tasks
LI Zhengqing1, HOU Senhao1, WEI Jinhao1, TANG Xiaoqiang1,2,3
1. Department of Mechanical Engineering, Tsinghua University, Beijing 100084, China;
2. State Key Laboratory of Tribology, Tsinghua University, Beijing 100084, China;
3. Beijing Key Laboratory of Precision/Ultra-Precision Manufacturing Equipment and Control, Tsinghua University, Beijing 100084, China
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摘要 针对用于物流仓储领域的平面四索并联机器人,提出一种基于视觉定位的自标定方法。通过相机和货架上的AprilTag获取末端动平台的位置,进行模型参数辨识和误差补偿,实现平面四索并联机器人的几何参数快速标定。首先,建立该四索并联机器人的运动学模型;然后,提出基于该机器人构型的运动学参数标定方法及位姿测量方法;最后,通过计算机仿真和实验验证该标定方法的有效性。实验结果表明,该标定方法能够快速实现末端动平台的运动学标定,达到小于1 mm的定位精度,满足仓储堆垛任务的定位误差要求。
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李政清
侯森浩
韦金昊
唐晓强
关键词 索驱动机器人并联机构仓储物流运动学标定    
Abstract:An auto-calibration method was developed for planar four-cable parallel robots based on visual measurements. The end-effector pose is obtained using a camera fixed on the end-effector that measures the pose of AprilTags on storage racks. Geometric parameter identification and error compensation are then used for rapid calibration of the planar four-cable parallel robot. The system model is based on a kinematics model of the planar four-cable parallel robot for storage and logistics tasks. Then, the kinematics calibration method is used with the pose measuring method to calibrate the robot. The calibration accuracy was verified using both computer simulations and tests. The results show that this rapid calibration method provides positioning accuracy of less than 1 mm, which meets the accuracy requirement for the storage and stacking tasks.
Key wordscable-driven robot    parallel mechanism    warehouse and logistics    kinematics calibration
收稿日期: 2022-03-31      出版日期: 2022-08-18
基金资助:唐晓强,教授,E-mail:tang-xq@tsinghua.edu.cn
引用本文:   
李政清, 侯森浩, 韦金昊, 唐晓强. 面向仓储物流的平面索并联机器人视觉自标定方法[J]. 清华大学学报(自然科学版), 2022, 62(9): 1508-1515.
LI Zhengqing, HOU Senhao, WEI Jinhao, TANG Xiaoqiang. Vision-based auto-calibration method for planar cable-driven parallel robot for warehouse and logistics tasks. Journal of Tsinghua University(Science and Technology), 2022, 62(9): 1508-1515.
链接本文:  
http://jst.tsinghuajournals.com/CN/10.16511/j.cnki.qhdxxb.2022.21.026  或          http://jst.tsinghuajournals.com/CN/Y2022/V62/I9/1508
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
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