Brain–Machine Interface and Visual Compressive Sensing-Based Teleoperation Control of an Exoskeleton Robot

This paper presents a teleoperation control for an exoskeleton robotic system based on the brain-machine interface and vision feedback. Vision compressive sensing, brain-machine reference commands, and adaptive fuzzy controllers in joint-space have been effectively integrated to enable the robot per...

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Veröffentlicht in:	IEEE transactions on fuzzy systems Jg. 25; H. 1; S. 58 - 69
Hauptverfasser:	Qiu, Shiyuan, Li, Zhijun, He, Wei, Zhang, Longbin, Yang, Chenguang, Su, Chun-Yi
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	IEEE 01.02.2017
Schlagworte:	Brain–machine interface (BMI) Electroencephalography electroencephalography (EEG) teleoperation exoskeleton Exoskeletons Feature extraction fuzzy logic system Image coding Robot sensing systems visual compress sense Visualization
ISSN:	1063-6706, 1941-0034
Online-Zugang:	Volltext
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