Evolving feasible gaits for a hexapod robot by reducing the space of possible solutions
[ 1 ] Instytut Automatyki i Inżynierii Informatycznej, Wydział Elektryczny, Politechnika Poznańska | [ P ] employee
2008
paper
english
EN The objective of this paper is to develop feasible gait patterns that could be used to control a real hexapod walking robot. These gaits should enable the fastest movement that is possible with the given robot mechanics and drives on a flat terrain. We show in a series of evolutionary simulations how a gradual reduction of the permissible state space of the movements of the robot legs leads to the proper leg trajectories for a hexapod robot. This strategy enables the learning system to discover feasible gaits, using only simple dependencies between the control signals of the legs and a simple fitness function. Finally, a stable and fast tripod gait evolved in simulation is shown in an experiment on the real walking robot Ragno.
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