External force estimation for industrial robots using configuration optimization-Reference-Cited by-同舟云学术

External force estimation for industrial robots using configuration optimization

Published:2023-01-12 Issue:2 Volume:64 Page:365-388
ISSN:0005-1144
Container-title:Automatika
language:en
Short-container-title:Automatika

Author:

Lu Yan¹^ORCID,Shen Yichao¹,Zhuang Chungang¹^ORCID

Affiliation:

1. School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, People’s Republic of China

Funder

National Key Research and Development Program of China

NSFC

Publisher

Informa UK Limited

Subject

General Computer Science,Control and Systems Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/00051144.2023.2166451

Reference57 articles.

1. Robots in machining

2. International Federation of Robotics. 2021 [cited 2021 Sep 20]. Available from: https://ifr.org/.

3. Amanhoud W, Khoramshahi M, Bonnesoeur M, et al. Force adaptation in contact tasks with dynamical systems. In: Proceedings of the IEEE International Conference on Robotics and Automation; Paris, France. 2000 May 31–Aug 31. p. 6841–6847.

4. Compliance Control for Robot Manipulation in Contact with a Varied Environment Based on a New Joint Torque Controller

5. Event-Triggered Adaptive Hybrid Position-Force Control for Robot-Assisted Ultrasonic Examination System

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