An online human–robot collaborative grinding state recognition approach based on contact dynamics and LSTM

Collaborative state recognition is a critical issue for physical human–robot collaboration (PHRC). This paper proposes a contact dynamics-based state recognition method to identify the human–robot collaborative grinding state. The main idea of the proposed approach is to distinguish between the huma...

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Detalles Bibliográficos
Autores principales: Chen, Shouyan, Sun, Xinqi, Zhao, Zhijia, Xiao, Meng, Zou, Tao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9478666/
https://www.ncbi.nlm.nih.gov/pubmed/36119715
http://dx.doi.org/10.3389/fnbot.2022.971205

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9478666/
https://www.ncbi.nlm.nih.gov/pubmed/36119715
http://dx.doi.org/10.3389/fnbot.2022.971205

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