Neuron-based control mechanisms for a robotic arm and hand
Singh, Nishant, Huyck, Christian R. ORCID: https://orcid.org/0000-0003-4015-3549, Gandhi, Vaibhav
ORCID: https://orcid.org/0000-0003-1121-7419 and Jones, Alexander
ORCID: https://orcid.org/0000-0002-9118-0339
(2017)
Neuron-based control mechanisms for a robotic arm and hand.
International Journal of Computer, Electrical, Automation, Control and Information Engineering, 11
(2)
.
pp. 221-229.
ISSN 2010-376X
[Article]
(doi:10.5281/zenodo.1128871)
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Abstract
A robotic arm and hand controlled by simulated neurons is presented. The robot makes use of a biological neuron simulator using a point neural model. The neurons and synapses are organised to create a finite state automaton including neural inputs from sensors, and outputs to effectors. The robot performs a simple pick-and-place task. This work is a proof of concept study for a longer term approach. It is hoped that further work will lead to more effective and flexible robots. As another benefit, it is hoped that further work will also lead to a better understanding of human and other animal neural processing, particularly for physical motion. This is a multidisciplinary approach combining cognitive neuroscience, robotics, and psychology.
Item Type: | Article |
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Additional Information: | ISNI: 0000000091950263 |
Research Areas: | A. > School of Science and Technology > Computer Science > Artificial Intelligence group |
Item ID: | 22031 |
Useful Links: | |
Depositing User: | Chris Huyck |
Date Deposited: | 15 Jun 2017 16:39 |
Last Modified: | 29 Nov 2022 21:11 |
URI: | https://eprints.mdx.ac.uk/id/eprint/22031 |
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