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General Information
Editor-in-chief
Prof. Adrian Olaru
University Politehnica of Bucharest, Romania
I'm happy to take on the position of editor in chief of IJMO. It's a journal that shows promise of becoming a recognized journal in the area of modelling and optimization. I'll work together with the editors to help it progress.
IJMO 2011 Vol.1(2): 129-133 ISSN: 2010-3697
DOI: 10.7763/IJMO.2011.V1.23

Effect of Friction Models on Snake Robot Performance

Hadi Kalani and Alireza Akbarzadeh

Abstract—In this paper, performance of a 16 link snake robot in serpentine locomotion using two friction models is investigated. Both Coulomb and viscous friction models are considered. Snake performance as defined by ratio of energy consumption to distance travelled is used as optimization goal. Key kinematics and dynamics parameters are identified. Dynamics and kinematics equations of snake robot are used to perform simulation and obtain results. Taguchi method is utilized and orthogonal array table is constructed. ANOVA technique is used to analyze the statistical significance of kinematic and dynamic parameters. Using Taguchi method optimum parameter settings effecting performance of snake robot are determined. The snake robot is also modeled in WEBOTS software. It is shown forward motion is obtained.

Index Terms—Snake-like robots; Taguchi method; DOE; Acknowledgment: This work was supported by a grant (on October 13, 2008), titled “Design and construction of a search and rescue snake robot with optimized locomotion”, sponsored by the Ferdowsi University of Mashhad’s Research Council. Hadi Kalani is with the Department of Mechanical Engineering, Ferdowsi University of Mashhad, Mashhad, Iran(e-mail: Hadi.kalani@yahoo.com)
Alireza Akbarzadeh is with the Department of Mechanical Engineering, Ferdowsi University of Mashhad, Mashhad, Iran(Tel/Fax: 98-511-876-3304; E-mail: Ali_Akbarzadeh_T@ yahoo.com).

[PDF]

Cite: Hadi Kalani and Alireza Akbarzadeh, "Effect of Friction Models on Snake Robot Performance," International Journal of Modeling and Optimization vol. 1, no. 2, pp. 129-133, 2011.

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