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Optimal gait planning for humanoids with 3D structure walking on slippery surfaces

Published online by Cambridge University Press:  01 September 2015

Majid Khadiv ,
S. Ali A. Moosavian ,
Aghil Yousefi-Koma ,
Majid Sadedel  and
Saeed Mansouri
Majid Khadiv*
Affiliation:
Center of Excellence in Robotics and Control, Advanced Robotics & Automated Systems (ARAS) Lab, Department of Mechanical Engineering, K. N. Toosi University of Technology, Tehran, Iran
S. Ali A. Moosavian
Affiliation:
Center of Excellence in Robotics and Control, Advanced Robotics & Automated Systems (ARAS) Lab, Department of Mechanical Engineering, K. N. Toosi University of Technology, Tehran, Iran
Aghil Yousefi-Koma
Affiliation:
Center of Advanced Systems and Technologies (CAST), School of Mechanical Engineering, College of Engineering, University of Tehran, Tehran, Iran
Majid Sadedel
Affiliation:
Center of Advanced Systems and Technologies (CAST), School of Mechanical Engineering, College of Engineering, University of Tehran, Tehran, Iran
Saeed Mansouri
Affiliation:
Department of Mechanical Engineering, Sharif University of Technology, Tehran, Iran
*
*Corresponding author. E-mail: [email protected]
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Summary

In this study, a gait optimization routine is developed to generate walking patterns which demand the lowest friction forces for implementation. The aim of this research is to fully address the question “which walking pattern demands the lowest coefficient of friction amongst all feasible patterns?”. To this end, first, the kinematic structure of the considered 31 DOF (Degrees of Freedom) humanoid robot is investigated and a closed-form dynamics model for its lower-body is developed. Then, the medium through which the walking pattern generation is conducted is presented. In this medium, after designing trajectories for the feet and the pelvis, the joint space variables are obtained, using the inverse kinematics. Finally, by employing a genetic algorithm (GA), an optimization process is conducted to generate walking patterns with the minimum Required Coefficient Of Friction (RCOF). Six parameters are adopted to parameterize the pelvis trajectory and are exploited as the design variables in this optimization procedure. Also, a parametrical study is accomplished to address the effects of some other variables on RCOF. For comparison purposes, a tip-over Stability Margin (SM) is defined, and an optimization procedure is conducted to maximize this margin. Finally, the proposed gait planning procedure is implemented on SURENA III, a humanoid robot designed and fabricated in CAST, to validate the developed simulation procedure. The obtained results reveal merits of the proposed optimal gait planning procedure in terms of RCOF.

Keywords

Humanoid robotsBipedal walkingGait optimizationWalking on slippery surfaces
Type
Articles
Information
Robotica , Volume 35 , Issue 3 , March 2017 , pp. 569 - 587
Copyright
Copyright © Cambridge University Press 2015 

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