Journal article
Biomimetic control for redundant and high degree of freedom limb systems: neurobiological modularity
Smart structures and systems, v 7(3), pp 169-184
01 Mar 2011
Abstract
We review the current understanding of modularity in biological motor control and its forms, and then relate this modularity to proposed modular control structures for biomimetic robots. We note the features that are different between the robotic and the biological 'designs' with features which have evolved by natural selection, and note those aspects of biology which may be counter-intuitive or unique to the biological controls as we currently understand them. Biological modularity can be divided into kinematic modularity comprised of strokes and cycles: primitives approximating a range of optimization criteria, and execution modularity comprised of kinetic motor primitives: muscle synergies recruited by premotor drives which are most often pulsatile, and which have the biomechanical effect of instantiating a visco-elastic force-field in the limb. The relations of these identified biological elements to kinematic and force-level motor primitives employed in robot control formulations are discussed.
Metrics
Details
- Title
- Biomimetic control for redundant and high degree of freedom limb systems: neurobiological modularity
- Creators
- Simon F. Giszter - Drexel UniversityCorey B. Hart - Drexel Univ, Coll Med, Philadelphia, PA 19129 USA
- Publication Details
- Smart structures and systems, v 7(3), pp 169-184
- Publisher
- Techno-Press
- Number of pages
- 16
- Grant note
- NS40412; NS54894 / NIH; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA IIS-0827684 / NSF CRCNS; National Science Foundation (NSF); NSF - Office of the Director (OD)
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Neurobiology and Anatomy
- Web of Science ID
- WOS:000289039500003
- Scopus ID
- 2-s2.0-79953115234
- Other Identifier
- 991019167641804721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Engineering, Civil
- Engineering, Mechanical
- Instruments & Instrumentation