Neuromodulation based control of an autonomous robot

Akimul Prince, Biswanath Samanta

Research output: Contribution to book or proceedingConference articlepeer-review

Abstract

The paper presents a control approach based on vertebrate neuromodulation and its implementation on an autonomous mobile robot platform. A neural network is used to model the neuromodulatory function for generating context based behavioral responses to sensory signals. The implementation of the neuronal model on a relatively simple autonomous robot illustrates its interesting behavior adapting to changes in the environment.

Original languageEnglish
Title of host publication2013 International Joint Conference on Neural Networks, IJCNN 2013
DOIs
StatePublished - 2013
Event2013 International Joint Conference on Neural Networks, IJCNN 2013 - Dallas, TX, United States
Duration: Aug 4 2013Aug 9 2013

Publication series

NameProceedings of the International Joint Conference on Neural Networks

Conference

Conference2013 International Joint Conference on Neural Networks, IJCNN 2013
Country/TerritoryUnited States
CityDallas, TX
Period08/4/1308/9/13

Scopus Subject Areas

  • Software
  • Artificial Intelligence

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