Abstract
We show how the computational model, which simulates
the coordinated movements of human-like bipedal
locomotion, can be evolutionarily generated without
elaboration of manual coding. In the research of
biomechanical engineering, robotics and
neurophysiology, to clarify the mechanism of human
bipedal walking is of their major interest. It can
serve as a basis of developing several applications
such as rehabilitation tools and humanoid robots.
Nevertheless, because of complexity of human's neuronal
system that interacts with the body dynamics system to
make walking movements, much is left unknown about the
control mechanism of locomotion, and researchers were
looking for the optimal model of the neuronal system by
extensive efforts of trials and errors. In this paper,
we applied genetic programming to induce the model of
the nervous system automatically and showed its
effectiveness by simulating a human bipedal gait with
the obtained model. Our experimental results show some
promising evidences for evolutionary generation of the
human-like bipedal locomotion.
Users
Please
log in to take part in the discussion (add own reviews or comments).