Implementation of analog controller based on biological nervous system for biomimetics walking robot

Sung Hoon Kim, Tae Hun Kang, Jin Ho Cho

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

1 Scopus citations

Abstract

In this paper, we proposed an analog neural controller (ANC) that is similar to physical modeling of the nervous system. ANC is composed of sensory neurons, motor neurons, synapses and dendrites. The functions of sensory neurons generate CPG signals and motor neurons change the sensory neuron signal for driving actuators. Synapses connect between neurons and the weigh to be given. Dendrites can accept external signal from the sensor. Because of parallel structure which is one of main characteristic of ANC, it is possible to walk by generating new pattern even though one of the neuron is out of working.

Original languageEnglish
Title of host publicationAdvances in Mobile Robotics - Proceedings of the 11th International Conference on Climbing and Walking Robots and the Support Technologies for Mobile Machines, CLAWAR 2008
PublisherWorld Scientific Publishing Co. Pte Ltd
Pages221-228
Number of pages8
ISBN (Print)9812835768, 9789812835765
DOIs
StatePublished - 2008
Event11th International Conference on Climbing and Walking Robots and the Support Technologies for Mobile Machines, CLAWAR 2008 - Coimbra, Portugal
Duration: 8 Sep 200810 Sep 2008

Publication series

NameAdvances in Mobile Robotics - Proceedings of the 11th International Conference on Climbing and Walking Robots and the Support Technologies for Mobile Machines, CLAWAR 2008

Conference

Conference11th International Conference on Climbing and Walking Robots and the Support Technologies for Mobile Machines, CLAWAR 2008
Country/TerritoryPortugal
CityCoimbra
Period8/09/0810/09/08

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