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Adaptive Gait Generation for Hexapod Robot using Genetic Algorithm
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Project undertaken by me and Kunal Gupta during December 2015. This is similar to how a dog learns to walk on its own after damage to one of its legs. Nature is fascinating and beautiful.
Aim was to generate a gait(walking mechanism) for a hexapod using Genetic algorithm, that is, without manually programming the gait in the hexapod controller, but rather, simulating many gaits over many generations to develop the perfect one. This GA model was then applied to generate a gait for a hexapod with damaged leg, hence, "Adaptive Gait Generation". MATLAB was used to generate the gaits using GA and the real life hexapod was used to test those gaits.
Aim was to generate a gait(walking mechanism) for a hexapod using Genetic algorithm, that is, without manually programming the gait in the hexapod controller, but rather, simulating many gaits over many generations to develop the perfect one. This GA model was then applied to generate a gait for a hexapod with damaged leg, hence, "Adaptive Gait Generation". MATLAB was used to generate the gaits using GA and the real life hexapod was used to test those gaits.
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