Please use this identifier to cite or link to this item: https://doi.org/10.1177/0142331210366645
Title: Analogue neuronal network in a biomorphic machine: Modelling and simulation in ADAMs
Authors: Vadakkepat, P. 
Tan, S.J. 
Hong, C.Y.
Keywords: biomorph
nervous networks
quasi-periodic oscillators
Issue Date: Apr-2012
Source: Vadakkepat, P., Tan, S.J., Hong, C.Y. (2012-04). Analogue neuronal network in a biomorphic machine: Modelling and simulation in ADAMs. Transactions of the Institute of Measurement and Control 34 (2-3) : 184-212. ScholarBank@NUS Repository. https://doi.org/10.1177/0142331210366645
Abstract: This paper presents a study of the adaptive navigation behaviour in a five-degree-of-freedom biomorphic machine driven by an analogue neuronal network. The analogue neuron is introduced and its mathematical model derived. The biomorph, Quadrupedal Uncontrolled Locomotion (QUL 1.4), is fabricated for study. The analogue neuron ring controller and mechanics are described. A computer model is created in Automatic Dynamic Analysis of Mechanical Systems (ADAMs) software and successful forward gaits in simulations match the observed results. Obstacle climbing over a cylindrical object is simulated and results are shown. The final part of the paper deals with three levels of coupling within QUL 1.4. A distance modulation approach is introduced as a simple method of identifying lever points in biomorphic machines. © 2010 The Institute of Measurement and Control.
Source Title: Transactions of the Institute of Measurement and Control
URI: http://scholarbank.nus.edu.sg/handle/10635/55056
ISSN: 01423312
DOI: 10.1177/0142331210366645
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