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 (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
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: 14 Apr 2020 16:07
URI: https://eprints.mdx.ac.uk/id/eprint/22031

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