Abstract
Synthesizing human movement in computational neuro-mechanical models is a complex problem. In this study, we describe a predictive framework that combines computational models of neural, sensory and mechanical processes. Our proposed formulation facilitates the transition towards the design of a new class of bio-mimetic assistive devices that do not rely on explicit representations of task-specific motor control models.
Original language | English (US) |
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Title of host publication | Biosystems and Biorobotics |
Publisher | Springer International Publishing |
Pages | 265-269 |
Number of pages | 5 |
DOIs | |
State | Published - 2017 |
Publication series
Name | Biosystems and Biorobotics |
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Volume | 15 |
ISSN (Print) | 2195-3562 |
ISSN (Electronic) | 2195-3570 |
Funding
Acknowledgments This work was in part supported by the ERC Advanced Grant DEMOVE [267888].
ASJC Scopus subject areas
- Biomedical Engineering
- Mechanical Engineering
- Artificial Intelligence