Neural admittance control based on motion intention estimation and force feedforward compensation for human–robot collaboration-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Neural admittance control based on motion intention estimation and force feedforward compensation for human–robot collaboration

Published:2024-07-22 Issue:3 Volume:8 Page:560-573
ISSN:2366-5971
Container-title:International Journal of Intelligent Robotics and Applications
language:en
Short-container-title:Int J Intell Robot Appl

Author:

Ai Wenxu,Pan Xinan,Jiang Yong,Wang Hongguang

Funder

National Natural Science Foundation of China

International Science and Technology Cooperation Program of Liaoning Province

Applied Fundamental Research Program of Liaoning Province

Fundation of State Key Laboratory of Robotics

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s41315-024-00362-x.pdf

Reference41 articles.

1. Ahmadi, B., Xie, W.F., Zakeri, E.: Robust cascade vision/force control of industrial robots utilizing continuous integral sliding-mode control method. IEEE/ASME Transactions on Mechatronics 27(1), 524–536 (2021)

2. Chang, Y.C., Chen, B.S.: A nonlinear adaptive h/sup /spl infin// tracking control design in robotic systems via neural networks. IEEE Transactions on Control Systems Technology 5(1), 13–29 (1997).

3. Chen, X., Jiang, Y., Yang, C.: Stiffness estimation and intention detection for human-robot collaboration. In: 2020 15th IEEE Conference on Industrial Electronics and Applications (ICIEA), IEEE, pp 1802–1807 (2020)

4. Cheng, Y., Yi, P., Liu, R., et al.: Human-robot interaction method combining human pose estimation and motion intention recognition. In: 2021 IEEE 24th International Conference on Computer Supported Cooperative Work in Design (CSCWD), IEEE, pp 958–963 (2021)

5. Cremer, S., Das, S.K., Wijayasinghe, I.B., et al.: Model-free online neuroadaptive controller with intent estimation for physical human-robot interaction. IEEE Transactions on Robotics 36(1), 240–253 (2019)

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3