Learning-Based Motion-Intention Prediction for End-Point Control of Upper-Limb-Assistive Robots

The lack of intuitive and active human–robot interaction makes it difficult to use upper-limb-assistive devices. In this paper, we propose a novel learning-based controller that intuitively uses onset motion to predict the desired end-point position for an assistive robot. A multi-modal sensing syst...

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Detalles Bibliográficos
Autores principales: Yang, Sibo, Garg, Neha P., Gao, Ruobin, Yuan, Meng, Noronha, Bernardo, Ang, Wei Tech, Accoto, Dino
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10056111/
https://www.ncbi.nlm.nih.gov/pubmed/36991709
http://dx.doi.org/10.3390/s23062998

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10056111/
https://www.ncbi.nlm.nih.gov/pubmed/36991709
http://dx.doi.org/10.3390/s23062998

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