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

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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. [Conference or Workshop Item]

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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.

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Official URL:

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

Research Institute, Centre or Group - Does NOT include content added after October 2018:

Materials and Engineering Research Institute > Materials Analysis and Research Services

Event Location:

Funchal, Madeira, Portugal

ISBN:

978-989-8111-31-9

Identifiers

ORCID:

https://orcid.org/0000-0001-9222-5538