抄録
Despite the considerable complexity of the human musculoskeletal system, human beings are capable to move with great dexterity and ease even under instable conditions as during running. In order to understand the control mechanisms underlying the generation of such skill-full behaviors, we propose to study running, a highly dynamic motion, using an anthropomorphic bipedal robot. To do so, we propose a method called Muscle Activation Pattern Control based on physiological observations of athlete runners that we apply in a simulation of our running robot. Using this method, we show that the robot can autonomously acquire patterns of running motion over 3m/s.
