Literature DB >> 17281211

Hierarchical Feedback and Learning for Multi-joint Arm Movement Control.

Weiwei Li1, Emanuel Todorov, Xiuchuan Pan.   

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.

Entities:  

Year:  2005        PMID: 17281211     DOI: 10.1109/IEMBS.2005.1615441

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  3 in total

1.  Simplified and effective motor control based on muscle synergies to exploit musculoskeletal dynamics.

Authors:  Max Berniker; Anthony Jarc; Emilio Bizzi; Matthew C Tresch
Journal:  Proc Natl Acad Sci U S A       Date:  2009-04-20       Impact factor: 11.205

Review 2.  Strategy of arm movement control is determined by minimization of neural effort for joint coordination.

Authors:  Natalia Dounskaia; Yury Shimansky
Journal:  Exp Brain Res       Date:  2016-03-16       Impact factor: 1.972

Review 3.  The coordination of movement: optimal feedback control and beyond.

Authors:  Jörn Diedrichsen; Reza Shadmehr; Richard B Ivry
Journal:  Trends Cogn Sci       Date:  2009-12-11       Impact factor: 20.229

  3 in total

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