Neuron-based control mechanisms for a robotic arm and hand
Article
Singh, N., Huyck, C., Gandhi, V. and Jones, A. 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. https://doi.org/10.5281/zenodo.1128871
Type | Article |
---|---|
Title | Neuron-based control mechanisms for a robotic arm and hand |
Authors | Singh, N., Huyck, C., Gandhi, V. and Jones, A. |
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. |
Research Group | Artificial Intelligence group |
Publisher | World Academy of Science, Engineering and Technology |
Journal | International Journal of Computer, Electrical, Automation, Control and Information Engineering |
ISSN | 2010-376X |
Publication dates | |
24 Feb 2017 | |
Publication process dates | |
Deposited | 15 Jun 2017 |
Accepted | 06 Jan 2017 |
Output status | Published |
Publisher's version | License |
Additional information | ISNI: 0000000091950263 |
Digital Object Identifier (DOI) | https://doi.org/10.5281/zenodo.1128871 |
Language | English |
https://repository.mdx.ac.uk/item/8705q
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