Dynamic neural field as framework for behaviour coordination in mobile robots

E. Torta, R.H. Cuijpers, J.F. Juola

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

4 Citations (Scopus)

Abstract

Behaviour based navigation frameworks present the need of mechanisms for behaviour coordination. Algorithms inspired by processing principles of the human brain can provide effective solutions to the coordination problem. Here we present the use of the dynamic neural field, a recurrent neural network, as behaviour coordination layer in robotics navigation algorithms. We test the control loop with the humanoid robot NAO in different contexts. Results show that the use of the dynamic neural field allows the generation of context-dependent effective behaviours.
Original languageEnglish
Title of host publicationProceedings of the World Automation Congress (WAC), 24-28 June 2012, Puerto Vallarta, Mexico
EditorsM. Jamsihidi, E.N. Sanchez, S Kobashi, N. Sepheri, G. Muscato, D. Andina, R. Valerdi
Place of PublicationPiscataway
PublisherInstitute of Electrical and Electronics Engineers
Pages584-589
Publication statusPublished - 2012

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