Singh, N.; Huyck, C.; Gandhi, V.; Jones, A.

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

Publication dates
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
Language	English
Publisher	World Academy of Science, Engineering and Technology
Journal	International Journal of Computer, Electrical, Automation, Control and Information Engineering
ISSN	2010-376X
Print	24 Feb 2017
Publication process dates
Deposited	15 Jun 2017
Accepted	06 Jan 2017
Output status	Published
Publisher's version	Neuron-Based-Control-Mechanisms-for-a-Robotic-Arm-and-Hand.pdf License CC BY 4.0
Additional information	ISNI: 0000000091950263
Digital Object Identifier (DOI)	https://doi.org/10.5281/zenodo.1128871

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Gandhi, V., Arora, V., Behera, L., Prasad, G., Coyle, D. and McGinnity, T. 2011. EEG denoising with a recurrent quantum neural network for a brain-computer interface. The 2011 International Joint Conference on Neural Networks (IJCNN). https://doi.org/10.1109/IJCNN.2011.6033413

EEG filtering with quantum neural networks for a Brain-Computer Interface (BCI)

Gandhi, V., Prasad, G., Coyle, D., Behera, L. and McGinnity, T. 2012. EEG filtering with quantum neural networks for a Brain-Computer Interface (BCI). Young researchers futures meeting: Neural engineering. University of Warwick 19 - 21 Sep 2012 pp. 21

Intelligent adaptive user interfaces for BCI based robotic control

Gandhi, V., Prasad, G., McGinnity, M., Coyle, D. and Behera, L. 2013. Intelligent adaptive user interfaces for BCI based robotic control. BCI meeting. USA Graz University of Technology Publishing House. https://doi.org/10.3217/978-3-85125-260-6-130

Quantum neural network based surface EMG signal filtering for control of robotic hand

Gandhi, V. and McGinnity, M. 2013. Quantum neural network based surface EMG signal filtering for control of robotic hand. IJCNN 2013: The International Joint Conference on Neural Networks. Dallas, TX, USA 04 - 09 Aug 2013

Quantum neural network-based EEG filtering for a brain-computer interface

Gandhi, V., Prasad, G., Coyle, D., Behera, L. and McGinnity, T. 2013. Quantum neural network-based EEG filtering for a brain-computer interface. IEEE Transactions on Neural Networks and Learning Systems. https://doi.org/10.1109/TNNLS.2013.2274436

Cell assemblies for query expansion in information retrieval

Volpe, I., Moreira, V. and Huyck, C. 2011. Cell assemblies for query expansion in information retrieval. in: The 2011 International Joint Conference on Neural Networks (IJCNN 2011 - San Jose) Institute of Electrical and Electronics Engineers (IEEE). pp. 551-558

The interaction between attention and action expectation. An ERP study

Jones, A., Hughes, G. and Waszak, F. 2013. The interaction between attention and action expectation. An ERP study. The Journal of Cognitive Neuroscience. S, pp. 115-115.

Independent effects of endogenous and exogenous attention in touch

Jones, A. and Forster, B. 2013. Independent effects of endogenous and exogenous attention in touch. Somatosensory and Motor Research. https://doi.org/10.3109/08990220.2013.779243

Lost in vision: ERP correlates of exogenous tactile attention when engaging in a visual task

Jones, A. and Forster, B. 2013. Lost in vision: ERP correlates of exogenous tactile attention when engaging in a visual task. Neuropsychologia. 51 (4), pp. 675-685. https://doi.org/10.1016/j.neuropsychologia.2013.01.010

Reflexive attention in touch: an investigation of event related potentials and behavioural responses

Jones, A. and Forster, B. 2012. Reflexive attention in touch: an investigation of event related potentials and behavioural responses. Biological Psychology. 89 (2), pp. 313-322. https://doi.org/10.1016/j.biopsycho.2011.11.004

Conflict resolution and learning probability matching in a neural cell-assembly architecture

Belavkin, R. and Huyck, C. 2011. Conflict resolution and learning probability matching in a neural cell-assembly architecture. Cognitive Systems Research. 12 (2), pp. 93-101. https://doi.org/10.1016/j.cogsys.2010.08.003

A Pong playing agent modelled with massively overlapping cell assemblies

Nadh, K. and Huyck, C. 2010. A Pong playing agent modelled with massively overlapping cell assemblies. Neurocomputing. 73 (16-18), pp. 2928-2934. https://doi.org/10.1016/j.neucom.2010.07.013

Multi-associative memory in fLIF cell assemblies.

Huyck, C. and Nadh, K. 2009. Multi-associative memory in fLIF cell assemblies. 9th International Conference on Cognitive Modeling. Manchester 24 - 26 Jul 2009

Processing with cell assemblies

Byrne, E. and Huyck, C. 2010. Processing with cell assemblies. Neurocomputing. 74 (1-3), pp. 76-83. https://doi.org/10.1016/j.neucom.2009.09.024

Using cohesive devices to recognize rhetorical relations in text.

Le, H., Abeysinghe, G. and Huyck, C. 2003. Using cohesive devices to recognize rhetorical relations in text. 4th Computational Linguistics UK Research Colloquium (CLUK-4). Edinburgh University Jan 2003 pp. 123-128

Automated discourse segmentation by syntactic information and cue phrases.

Le, H., Abeysinghe, G. and Huyck, C. 2004. Automated discourse segmentation by syntactic information and cue phrases. IASTED International Conference on Artificial Intelligence and Applications (AIA 2004). Innsbruck, Austria 16 - 18 Feb 2004 pp. 293-298

Generating discourse structures for written texts

Le, H., Abeysinghe, G. and Huyck, C. 2004. Generating discourse structures for written texts. International Conference on Computational Linguistics, (COLING 2004). University of Geneva, Switzerland 23 - 27 Aug 2004 pp. 329-355

A study to improve the efficiency of a discourse parsing system

Le, H., Abeysinghe, G. and Huyck, C. 2003. A study to improve the efficiency of a discourse parsing system. 4th International Conference on Intelligent Text Processing and Computational Linguistics, (CICLing’03). Mexico City 16 - 22 Feb 2003 pp. 101-114

Emergence of rules in cell assemblies of fLIF neurons.

Belavkin, R. and Huyck, C. 2008. Emergence of rules in cell assemblies of fLIF neurons. The 18th European Conference on Artificial Intelligence. University of Patras, Greece 21 - 25 Jul 2008

A model of probability matching in a two-choice task based on stochastic control of learning in neural cell-assemblies.

Belavkin, R. and Huyck, C. 2009. A model of probability matching in a two-choice task based on stochastic control of learning in neural cell-assemblies. 9th International conference on cognitive modelling {ICCM 2009]. University of Manchester 24 - 26 Jul 2009

Models of cell assembly decay

Passmore, P. and Huyck, C. 2008. Models of cell assembly decay. Institute of Electrical and Electronics Engineers. pp. 1-6 https://doi.org/10.1109/UKRICIS.2008.4798946

Dialogue based interfaces for universal access.

Huyck, C. 2010. Dialogue based interfaces for universal access. Universal Access in the Information Society. https://doi.org/10.1007/s10209-010-0209-5

A psycholinguistic model of natural language parsing implemented in simulated neurons

Huyck, C. 2009. A psycholinguistic model of natural language parsing implemented in simulated neurons. Cognitive Neurodynamics. 3 (4), pp. 316-330. https://doi.org/10.1007/s11571-009-9080-6

Variable binding by synaptic strength change

Huyck, C. 2009. Variable binding by synaptic strength change. Connection Science. 21 (4), pp. 327-357. https://doi.org/10.1080/09540090902954188

Prepositional phrase attachment ambiguity resolution using semantic hierarchies

Nadh, K. and Huyck, C. 2009. Prepositional phrase attachment ambiguity resolution using semantic hierarchies. Hamza, M. (ed.) 9th IASTED International Conference on Artificial Intelligence and Applications. Innsbruck, Austria 17 - 18 Feb 2009 Acta Press.

Neural cell assemblies for practical applications.

Huyck, C. and Bavan, A. 2002. Neural cell assemblies for practical applications. in: Callaos, N. (ed.) SCI 2002: ISAS: the 6th world multiconference on systemics, cybernetics and informatics: proceedings. Orlando, Florida. International Institute of Informatics and Systemics.. pp. 174-177

Agent design method for enhancing accessibility.

Cook, J., Huyck, C. and Whitney, G. 2004. Agent design method for enhancing accessibility. in: McLoughlin, C. and Cantoni, L. (ed.) ED-MEDIA 2004: world conference on educational multimedia, hypermedia and telecommunications: proceedings of ED-MEDIA 2004. Association for the Advancement of Computing in Education.