The role of sensory-motor coordination: identifying environmental motion dynamics with dynamic neural networks

MCKIBBIN, S. P., AMAVASAI, B., SELVAN, A. N., CAPARRELLI, F. and OTHMAN, W. (2008). The role of sensory-motor coordination: identifying environmental motion dynamics with dynamic neural networks. In: ICINCO 2008, Proceedings of the Fifth International Conference on Informatics in Control, Automation and Robotics, Robotics and Automation 2, Funchal, Madeira, Portugal, May 11-15, 2008.

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Official URL: http://www.icinco.org/icinco2008/

Abstract

We describe three recurrent neural architectures inspired by the proprioceptive system found in mammals; Exo-sensing, Ego-sensing, and Composite. Through the use of Particle Swarm Optimisation the robot controllers are adapted to perform the task of identifying motion dynamics within their environment. We highlight the effect of sensory-motor coordination on the performance in the task when applied to each of the three neural architectures.

Item Type: Conference or Workshop Item (Paper)
Additional Information:
Research Institute, Centre or Group: Materials and Engineering Research Institute > Materials Analysis and Research Services
Depositing User: Ann Betterton
Date Deposited: 12 Jul 2010 16:57
Last Modified: 06 Oct 2010 15:11
URI: http://shura.shu.ac.uk/id/eprint/2333

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