中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
A Graph Robot Network for Force Observer of Teleoperation Systems

文献类型:期刊论文

作者Pan, Ming-Zhang1; Li, Jing-Ao1; Li, Zhen2,3; Liang, Kun1; Su, Tie-Cheng1; Liang, Ke1; Bian, Gui-Bin4
刊名IEEE-ASME TRANSACTIONS ON MECHATRONICS
出版日期2024-06-05
页码11
关键词Deep learning force observer master-slave robot teleoperation system
ISSN号1083-4435
DOI10.1109/TMECH.2024.3402995
通讯作者Bian, Gui-Bin(guibin.bian@ia.ac.cn)
英文摘要Force information is crucial to teleoperation systems, which allows experts to perform tasks safely and reduces potential risks. However, due to the limitations of robot size and working environment, it is difficult to obtain contact force information through traditional force sensors. Therefore, this article proposes a graph robot network force observer, which can achieve sensorless force estimation without solving the robot dynamics. First, different association graphs are constructed according to the relative spatial position of the robot joints, establishing information transmission channels between each joint. Second, a neural reinforcement factor is introduced from robot joint motion information to enhance the feature information of different association subgraphs. Finally, a spatial and temporal feature fusion module is developed to extract and fuse both temporal and spatial information, which outputs the force information on the robot end effector along axes X, Y, and Z. Experiments in different environments and ablation experiments are carried out to verify the stability and generalization ability of the model. The experimental results show that the proposed force observer can accurately achieve the contact force between the robot and the object, and the proposed force observer achieves state-of-the-art performance compared with other algorithms.
资助项目National Natural Science Foundation of China
WOS研究方向Automation & Control Systems ; Engineering
语种英语
WOS记录号WOS:001242965600001
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
资助机构National Natural Science Foundation of China
源URL[http://ir.ia.ac.cn/handle/173211/58748]  
专题智能机器人系统研究
通讯作者Bian, Gui-Bin
作者单位1.Guangxi Univ, Sch Mech Engn, Nanning 530004, Peoples R China
2.Tongji Univ, Sch Elect & Informat Engn, Shanghai 200092, Peoples R China
3.Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China
4.Chinese Acad Sci, Inst Automat, State Key Lab Multimodal Artificial Intelligence, Beijing 100190, Peoples R China
推荐引用方式
GB/T 7714
Pan, Ming-Zhang,Li, Jing-Ao,Li, Zhen,et al. A Graph Robot Network for Force Observer of Teleoperation Systems[J]. IEEE-ASME TRANSACTIONS ON MECHATRONICS,2024:11.
APA Pan, Ming-Zhang.,Li, Jing-Ao.,Li, Zhen.,Liang, Kun.,Su, Tie-Cheng.,...&Bian, Gui-Bin.(2024).A Graph Robot Network for Force Observer of Teleoperation Systems.IEEE-ASME TRANSACTIONS ON MECHATRONICS,11.
MLA Pan, Ming-Zhang,et al."A Graph Robot Network for Force Observer of Teleoperation Systems".IEEE-ASME TRANSACTIONS ON MECHATRONICS (2024):11.

入库方式: OAI收割

来源:自动化研究所

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