進化戦略を用いた多足歩行ロボットの歩容学習(一般講演8)

抄録

In this research, as an example of learning that used evolutionary algorithm to a multi-legged robot, make a lag of a phase from a standard locus of each leg that revolves with a regular cycle and a regular locus a gene and it a real number handle can the method that locomotion is caused optimized by causing learnt by using an evolution strategy that the adaptation of self becomes possible in accordance with the environment of surroundings it proposes. Also, it reports regarding the result, because efficacy is verified and carry out a locomotive learn experiment by using walking robot that has 8 legs of real machine.