Internal Models as Echo State Networks : Learning to Execute Arm Movements
As robots are becoming more and more complex, with higher degrees-of-freedom, lighter limbs, and springy joints, it becomes harder to control their movements. New approaches, inspired from neuroscience, are attracting increased attention among computer scientists dealing with motor control. The focu...
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| Format: | Doctoral Thesis |
| Language: | English |
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Norges teknisk-naturvitenskapelige universitet, Institutt for datateknikk og informasjonsvitenskap
2013
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| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-23554 http://nbn-resolving.de/urn:isbn:978-82-471-4810-5 (printed ver.) http://nbn-resolving.de/urn:isbn:978-82-471-4811-2 (electronic ver.) |