Hybrid IDM/Impedance learning in human movements
2001
Conference Paper
ei
In spite of motor output variability and the delay in the sensori-motor, humans routinely perform intrinsically un- stable tasks. The hybrid IDM/impedance learning con- troller presented in this paper enables skilful performance in strong stable and unstable environments. It consid- ers motor output variability identified from experimen- tal data, and contains two modules concurrently learning the endpoint force and impedance adapted to the envi- ronment. The simulations suggest how humans learn to skillfully perform intrinsically unstable tasks. Testable predictions are proposed.
Author(s): | Burdet, E. and Teng, KP. and Chew, CM. and Peters, J. and , BT. |
Book Title: | ISHF 2001 |
Journal: | Proceedings of the 1st International Symposium on Measurement, Analysis and Modeling of Human Functions (ISHF2001) |
Volume: | 1 |
Pages: | 1-9 |
Year: | 2001 |
Month: | September |
Day: | 0 |
Department(s): | Empirische Inferenz |
Bibtex Type: | Conference Paper (inproceedings) |
Event Name: | 1st International Symposium on Measurement, Analysis and Modeling of Human Functions (ISHF2001) |
Event Place: | Sapporo, Japan |
Digital: | 0 |
Language: | en |
Organization: | Max-Planck-Gesellschaft |
School: | Biologische Kybernetik |
Links: |
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BibTex @inproceedings{5060, title = {Hybrid IDM/Impedance learning in human movements}, author = {}, journal = {Proceedings of the 1st International Symposium on Measurement, Analysis and Modeling of Human Functions (ISHF2001)}, booktitle = {ISHF 2001}, volume = {1}, pages = {1-9}, organization = {Max-Planck-Gesellschaft}, school = {Biologische Kybernetik}, month = sep, year = {2001}, doi = {}, month_numeric = {9} } |