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Improving the stability level for on-line planning of mobile manipulators

Published online by Cambridge University Press:  01 May 2009

Changwu Qiu ,
Qixin Cao ,
Leibin Yu  and
Shouhong Miao
Changwu Qiu*
Affiliation:
School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China.
Qixin Cao
Affiliation:
State Key Laboratory of Mechanical System and Vibration, Shanghai Jiao Tong University, Shanghai, China.
Leibin Yu
Affiliation:
School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China.
Shouhong Miao
Affiliation:
School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China.
*
*Corresponding author. E-mail: qcw@sjtu.org
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Summary

This paper presents a quadratic programming (QP) form algorithm to realize on-line planning of mobile manipulators with consideration for improving the stability level. With Lie group and screw tools, the general tree topology structure mobile robot dynamics and dynamic stability attributes were analysed. The stable support condition for a mobile robot is constructed not only in a polygonal support region, but also in a polyhedral support region. For a planar supporting region, the tip-over avoiding requirement is formulated as the tip-over prevent constraints with the reciprocal products of the resultant support wrench and the imaginary tip-over twists, which are constructed with the boundaries of the convex support polygon. At velocity level, the optimized resolution algorithm with standard QP form is designed to resolve the inverse redundant kinematics of the Omni-directional Mobile ManipulatorS (OMMS) with stability considerations. Numerical simulation results show that the presented methods successfully improve the stability level of the robot within an on-line planning process.

Keywords

Mobile manipulatorStabilityTip-over avoidingOn-line planningInverse redundant kinematics
Type
Article
Information
Robotica , Volume 27 , Issue 3 , May 2009 , pp. 389 - 402
Copyright
Copyright © Cambridge University Press 2008

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