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Walking planning based on artificial vector field with prediction simulation for biped robot
Author(s) -
Yamaguchi Takashi,
Shibata Masaaki
Publication year - 2007
Publication title -
electrical engineering in japan
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.136
H-Index - 28
eISSN - 1520-6416
pISSN - 0424-7760
DOI - 10.1002/eej.20547
Subject(s) - trajectory , workspace , robot , control theory (sociology) , biped robot , gait , stability (learning theory) , computer science , field (mathematics) , feed forward , simulation , artificial intelligence , engineering , control engineering , mathematics , machine learning , physics , control (management) , physiology , astronomy , pure mathematics , biology
This paper proposes a method for gait trajectory generation using an artificial vector field for stable walking for a biped robot. The tip of the robot while walking can often deviate from the desired trajectory as a result of the disturbances forced by unexpected outside factors. In our approach, though no prepared trajectory is specified a priori, the tip follows the artificial vectors designed in the workspace. Moreover, the prediction simulation is performed online. The simulator judges the stability under comparison with the present state and the prediction results, and then the gait parameters are adaptively improved in feedforward for the stable walk. The numerical and physical experimental results show the validity of the proposed method in a continuous walk. © 2007 Wiley Periodicals, Inc. Electr Eng Jpn, 159(4): 54– 61, 2007; Published online in Wiley InterScience ( www.interscience.wiley.com ). DOI 10.1002/eej.20547