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A Central Pattern Generator based Nonlinear Controller to Simulate Biped Locomotion with a Stable Human Gait Oscillation
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International Journal of Robotics and Automation (IJRA)
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Volume:  2    Issue:  2
Pages:  77-127
Publication Date:   May / June 2011
ISSN (Online): 2180-1312
Pages 
93 - 106
Author(s)  
Soumik Mondal - India
Anup Nandy - India
Chandrapal - India
Pavan Chakraborty - India
G. C. Nandi - India
 
Published Date   
31-05-2011 
Publisher 
CSC Journals, Kuala Lumpur, Malaysia
ADDITIONAL INFORMATION
Keywords   Abstract   References   Cited by   Related Articles   Collaborative Colleague
 
KEYWORDS:   Rayleigh Oscillator, Central Pattern Generator (CPG), Intelligent Gait Oscillation Detector (IGOD), Genetic Algorithm (GA), Nonlinear Dynamics System (NDS), YOBOTICS 
 
 
This Manuscript is indexed in the following databases/websites:-
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This paper mainly deals with designing a biological controller for biped robot to generate biped locomotion inspired from human gait oscillation. The Nonlinear Dynamics of the biological controller is being modeled by designing a Central Pattern Generator (CPG) which is built with the coupling of the Relaxation Oscillators. In this work the CPG consists of four Two-Way coupled Rayleigh Oscillators. The four major leg joints (e.g. two knee joints and two hip joints) are being considered for this modeling. The CPG based parameters are optimized using Genetic Algorithm (GA) to match an actual human locomotion captured by the Intelligent Gait Oscillation Detector (IGOD) biometric device. The Limit Cycle behavior and the dynamic analysis on the biped robot have been successfully simulated on to Spring Flamingo robot in YOBOTICS environment. 
 
 
 
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Soumik Mondal : Colleagues
Anup Nandy : Colleagues
Chandrapal : Colleagues
Pavan Chakraborty : Colleagues
G. C. Nandi : Colleagues  
 
 
 
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