Energy-Efficient Gait Planning and Control for Biped Robots Utilizing Vertical Body Motion and Allowable ZMP Region

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An energy-efficient gait planning (EEGP) and control system is established for biped robots with three-mass inverted pendulum mode (3MIPM), which utilizes both vertical body motion (VBM) and allowable zero-moment-point (ZMP) region (AZR). Given a distance to be traveled, we newly designed an online gait synthesis algorithm to construct a complete walking cycle, i.e., a starting step, multiple cyclic steps, and a stopping step, in which: 1) ZMP was fully manipulated within AZR; and 2) vertical body movement was allowed to relieve knee bending. Moreover, gait parameter optimization is effectively performed to determine the optimal set of gait parameters, i.e., average body height and amplitude of VBM, number of steps, and average walking speed, which minimizes energy consumption of actuation motors for leg joints under practical constraints, i.e., geometrical constraints, friction force limit, and yawing moment limit. Various simulations were conducted to identify the effectiveness of the proposed method and verify energy-saving performance for various ZMP regions. Our control system was implemented and tested on the humanoid robot DARwIn-OP.
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Issue Date
2015-04
Language
English
Article Type
Article
Keywords

WALKING PATTERN GENERATION; INVERTED PENDULUM MODE; HUMANOID ROBOT; CONSTRAINED OPTIMIZATION; PREVIEW CONTROL; MANIPULATORS; MINIMIZATION; ALGORITHM; POINT

Citation

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, v.62, no.4, pp.2277 - 2286

ISSN
0278-0046
DOI
10.1109/TIE.2014.2360152
URI
http://hdl.handle.net/10203/198224
Appears in Collection
EE-Journal Papers(저널논문)
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