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Please use this identifier to cite or link to this item:
http://hdl.handle.net/2014/37841
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| Title: | Cerebellar dynamic state estimation for biomorphic robot arm |
| Authors: | Assad, Christopher
Dastoor, Sanjay
Trujillo, Salomon
Xu, Ling |
| Keywords: | cerebellum
biomorphic robotics
bio-inspired control
dynamic state estimation
McKibben actuators
state space methods |
| Issue Date: | Oct-2005 |
| Publisher: | Pasadena, CA : Jet Propulsion Laboratory, National Aeronautics and Space Administration, 2005. |
| Citation: | 2005 IEEE International Conference on Systems, Man and Cybernetics, Hawaii, October 10-12, 2005 |
| Abstract: | The cerebellum has been called the brain's "engine of agility". This paper presents a cerebellar-inspired neural network that performs dynamic state estimation and predictive control. |
| URI: | http://hdl.handle.net/2014/37841 |
| Appears in Collections: | JPL TRS 1992+
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