A stability observer for human-robot and environment-robot interaction with variable admittance control-Reference-Cited by-同舟云学术

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A stability observer for human-robot and environment-robot interaction with variable admittance control

Published:2023-07-12 Issue:1-2 Volume:128 Page:437-450
ISSN:0268-3768
Container-title:The International Journal of Advanced Manufacturing Technology
language:en
Short-container-title:Int J Adv Manuf Technol

Author:

Wang Longxiang,Chen Chin-Yin,Wang Chongchong,Ying Kaichen,Li Yanbiao,Yang Guilin

Funder

the National Key R &D Program of China

the National Natural Science Foundation of China (NSFC) Program-Co-Focus

International Partnership Program, Bureau of International Cooperation, Chinese Academy of Sciences

Publisher

Springer Science and Business Media LLC

Subject

Industrial and Manufacturing Engineering,Computer Science Applications,Mechanical Engineering,Software,Control and Systems Engineering

Link

https://link.springer.com/content/pdf/10.1007/s00170-023-11626-4.pdf

Reference27 articles.

1. Sirintuna D, Ozdamar I, Aydin Y, Basdogan C (2020) Detecting human motion intention during PHRI using artificial neural networks trained by EMG signals. In: 2020 29th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN). https://doi.org/10.1109/RO-MAN47096.2020.9223438

2. Zahedi F, Arnold J, Phillips C, Lee H (2021) Variable damping control for PHRI: considering stability, agility, and human effort in controlling human interactive robots. IEEE Trans Hum Mach Syst 51(5):504–513. https://doi.org/10.1109/THMS.2021.3090064

3. Labrecque PD, Gosselin C (2018) Variable admittance for PHRI: from intuitive unilateral interaction to optimal bilateral force amplification. Robot Comput Integr Manuf 52:1–8. https://doi.org/10.1016/j.rcim.2018.01.005

4. Campeau-Lecours A, Otis M, Belzile P-L, Gosselin C (2016) A time-domain vibration observer and controller for physical human-robot interaction. Mechatronics 36:45–53. https://doi.org/10.1016/j.mechatronics.2016.04.006

5. Sassi MA, Otis MJ, Campeau-Lecours A (2017) Active stability observer using artificial neural network for intuitive physical human-robot interaction. Int J Adv Rob Syst 14(4):1729881417727326. https://doi.org/10.1177/1729881417727326

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Compliant Control Based on Stability Observer for Physical Human-Robot-Environment Interaction;IECON 2023- 49th Annual Conference of the IEEE Industrial Electronics Society;2023-10-16

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