Original scientific paper
Design of a Genetic-Fuzzy System for Planning Crab Gaits of a Six-legged Robot
Dilip Kumar Pratihar
; Kanpur Genetic Algorithms Laboratory (KanGAL), Department of Mechanical Engineering, Indian Institute of Technology, Kanpur, India
Kalyanmoy Deb
; Kanpur Genetic Algorithms Laboratory (KanGAL), Department of Mechanical Engineering, Indian Institute of Technology, Kanpur, India
Amitabha Ghosh
; Kanpur Genetic Algorithms Laboratory (KanGAL), Department of Mechanical Engineering, Indian Institute of Technology, Kanpur, India
Abstract
This paper describes a genetic-fuzzy system in which a genetic algorithm (GA) is used to improve the performance of a fuzzy logic controller (FLC). The proposed algorithm is tested on a number of gait-generation problems of a hexapod for crossing a ditch while moving on flat terrain along a straight line path with minimum number of legs on the ground and with maximum average kinematic margin of the ground-legs. Moreover, the hexapod will have to maintain its static stability while crossing the ditch. The movement of each leg of the hexapod is controlled by a separate fuzzy logic controller and a GA is used to find a set of good rules for each FLC from the author-defined large rule base. The optimized Fl.Cs are found to perform better than the author-designed Fl.Cs. Although optimization is performed off-line, the hexapod can use these Fl.Cs to navigate in real-world on-line scenarios. As an FLC is less expensive computationally, the computational complexity of the proposed algorithm will be less than that of the traditional methods of gait generation.
Keywords
genetic-fuzzy system; crab gait; hexapod; static stability; kinematic margin
Hrčak ID:
150202
URI
Publication date:
30.3.1999.
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