Selective Assist Strategy by Using Lightweight Carbon Frame Exoskeleton Robot

Exoskeleton robots need to always actively assist the user's movements otherwise robot just becomes a heavy load for the user. However, estimating diversified movement intentions in a user's daily life is not easy and no algorithm so far has achieved that level of estimation. In this study...

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Vydané v:	IEEE robotics and automation letters Ročník 7; číslo 2; s. 3890 - 3897
Hlavní autori:	Furukawa, Jun-ichiro, Okajima, Shotaro, An, Qi, Nakamura, Yuichi, Morimoto, Jun
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Piscataway IEEE 01.04.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Actuators Algorithms Artificial muscles Carbon Carbon fibers Classification Classifiers Estimation Exoskeletons intention recognition Lightweight Muscles optimization and optimal control Pneumatic systems Prosthetics and exoskeletons Robot sensing systems Robots Torque
ISSN:	2377-3766, 2377-3766
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