DocumentCode
1573896
Title
Hierarchical Feedback and Learning for Multi-joint Arm Movement Control
Author
Li, Weiwei ; Todorov, Emanuel ; Pan, Xiuchuan
Author_Institution
Dept. of Cognitive Sci., California Univ., San Diego, La Jolla, CA
fYear
2006
Firstpage
4400
Lastpage
4403
Abstract
This paper presents a general method for hierarchical feedback control of redundant systems, and applies it to the problem of arm movement control. A high-level feedback controller, designed using optimal control techniques, operates on a simplified virtual plant. A low-level controller is responsible for performing a feedback transformation of the physical plant into the desired virtual plant. The method is applied in the context of reaching with two realistic models of the human arm: a 2-DOF, 6-muscle model, and a 7-DOF, 14-muscle model. Simulation results demonstrate the effectiveness of the proposed scheme
Keywords
biomechanics; feedback; medical control systems; muscle; optimal control; hierarchical feedback control; high-level feedback controller; learning; multi-joint arm movement control; muscle model; optimal control techniques; redundant systems; virtual plant; Adaptive control; Aerodynamics; Biological control systems; Context modeling; Control systems; Feedback control; Humans; Mobile robots; Muscles; Optimal control;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005. 27th Annual International Conference of the
Conference_Location
Shanghai
Print_ISBN
0-7803-8741-4
Type
conf
DOI
10.1109/IEMBS.2005.1615441
Filename
1615441
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