Neuro-Based Position and Force Hybrid Control of Six-Legged Walking Robot
Author(s) -
Qingjiu Huang,
Kenzo AMI
Publication year - 2002
Publication title -
journal of robotics and mechatronics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.257
H-Index - 19
eISSN - 1883-8049
pISSN - 0915-3942
DOI - 10.20965/jrm.2002.p0324
Subject(s) - position (finance) , terrain , robot , control theory (sociology) , computer science , motion control , simulation , control (management) , artificial intelligence , ecology , finance , economics , biology
We propose a six-legged walking robot having two manipulators which offers added stability, mobility, and functionality. We studied neuro-based position and force hybrid motion control for walking on irregular terrain. Comparison with conventional position and force hybrid control demonstrates the high efficiency of the proposed neuro-based position and force hybrid control. The neuro-based position and force hybrid control includes six-axis force sensors in each leg, which provide control vertically, i.e., in the direction of gravity, and in the walking direction. This platform has proven to be very useful on irregular terrain including obstacles of random height and random position. Consequently, autonomous stable walking in an unknown environment has been realized through experiments.
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