Learning Inverse Dynamics for Robot Manipulator Control
Model-based control strategies for robot manipulators can present numerous performance advantages when an accurate model of the system dynamics is available. In practice, obtaining such a model is a challenging task which involves modeling such physical processes as friction, which may not be well u...
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| Language: | en |
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2011
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| Online Access: | http://hdl.handle.net/10012/6322 |