Paper Info
Title
Adaptive Impedance Control for an Upper Limb Robotic Exoskeleton Using Biological Signals.
Abstract
This paper presents adaptive impedance control of an upper limb robotic exoskeleton using biological signals. First, we develop a reference musculoskeletal model of the human upper limb and experimentally calibrate the model to match the operator's motion behavior. Then, the proposed novel impedance algorithm transfers stiffness from human operator through the surface electromyography (sEMG) signa...
Year
DOI
Venue
2017
10.1109/TIE.2016.2538741
IEEE Transactions on Industrial Electronics
Keywords
Field
DocType
Muscles,Robots,Impedance,Exoskeletons,Force,Biological system modeling,Tendons
Simulation,Control theory,Robustness (computer science),Electrical impedance,Control engineering,Impedance control,Exoskeleton,Engineering,Artificial neural network,Robot,Observer (quantum physics),Powered exoskeleton
Journal
Volume
Issue
ISSN
64
2
0278-0046
Citations 
PageRank 
References 
36
1.03
19
Authors
4
Name
Order
Citations
PageRank
Zhijun Li11316.74
Zhicong Huang2521.66
wei he32061102.03
Chun-Yi Su42681209.14