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Human-inspired compliant strategy for peg-in-hole assembly using environmental constraint and coarse force information

  • Xiaoqing Li
  • , Rui Li
  • , Hong Qiao
  • , Chao Ma
  • , Liang Li
  • University of Science and Technology Beijing
  • CAS - Institute of Automation
  • CAS Center for Excellence in Brain Science and Intelligence Technology
  • University of Chinese Academy of Sciences
  • China Aerospace Science and Technology Corporation

科研成果: 书/报告/会议事项章节会议稿件同行评审

25 引用 (Scopus)

摘要

Automated assembly, especially peg-in-hole insertion, is a common task in manufacturing. In particular, the high-precision assembly is achieved by high-precision manipulator and sensing system. However, uncertainty and various parts for assembly are still challenges for robotic assembly, especially for low-precision robot and sensors. It is noteworthy that human can implement assembly tasks although the precision of the arm and hand is not comparable with a common industrial robot, in which process compliance is the key characteristic of their motion. In this paper, we present a human-inspired compliant strategy for peg-in-hole assembly task using the environmental constraint and coarse force information. In the proposed strategy, a constraint region is designed for motion planning and utilized for eliminating the uncertainty of the initial positioning error of the peg. Force sensor is applied to sense the contact force of which the direction is used to adjust the movement of the peg. Therefore, high-precision sensor is not necessarily required. Inspired by human compliant assembly, a from coarse to fine adjustment strategy is executed. The contribution of our strategy is that high precision assembly task can be solved by low precision system. The constraint region and force guided directional adjustment have increased the robustness of the system. The strategy is carried out in simulation for round peg-in-hole assembly task. The experimental results show that the assembly task can be successfully completed and demonstrate the effectiveness of our strategy.

源语言英语
主期刊名IROS 2017 - IEEE/RSJ International Conference on Intelligent Robots and Systems
出版商Institute of Electrical and Electronics Engineers Inc.
4743-4748
页数6
ISBN(电子版)9781538626825
DOI
出版状态已出版 - 13 12月 2017
已对外发布
活动2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2017 - Vancouver, 加拿大
期限: 24 9月 201728 9月 2017

出版系列

姓名IEEE International Conference on Intelligent Robots and Systems
2017-September
ISSN(印刷版)2153-0858
ISSN(电子版)2153-0866

会议

会议2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2017
国家/地区加拿大
Vancouver
时期24/09/1728/09/17

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