Robot motion planning for the humanoid robot HOAP-3

In the field of robotics there is a great interest in developing strategies and algorithms to reproduce humanlike behavior. Programming a humanoid robot to walk is a challenging problem. Traditional approaches rely heavily on prior knowledge of the robot’s physical parameters to devise sophisticated control algorithms for generating a stable gait. We present two approaches to solve the motion planning problem for humanoid robots, one of them is based on a classic robot motion planning idea and the other is a novel idea based on the learning human behavior by imitation.