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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Autori principali:	Sibo Yang, Neha P. Garg, Ruobin Gao, Meng Yuan, Bernardo Noronha, Wei Tech Ang, Dino Accoto
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	MDPI AG 2023-03-01
Serie:	Sensors
Soggetti:	upper limb assistive robots wearable sensors motion intention detection human–robot interaction sensory fusion machine learning
Accesso online:	https://www.mdpi.com/1424-8220/23/6/2998
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