Abstract-Despite the recent achievements in stable dynamic walking for many humanoid robots, relatively little navigation autonomy has been achieved. In particular, the ability to autonomously select foot placement positions to avoid obstacles while walking is an important step towards improved navigation autonomy for humanoids. We present a footstep planner for the Honda ASIMO humanoid robot that plans a sequence of footstep positions to navigate toward a goal location while avoiding obstacles. The possible future foot placement positions are dependent on the current state of the robot. Using a finite set of state-dependent actions, we use an A* search to compute optimal sequences of footstep locations up to a time-limited planning horizon. We present experimental results demonstrating the robot navigating through both static and dynamic known environments that include obstacles moving on predictable trajectories.
In REF (Honda ASIMO™) they plans a sequence of footstep positions to navigate toward a goal location while avoiding static and dynamic obstacles, their method uses a time-limited planning horizon.
Footstep Planning for the Honda ASIMO Humanoid
Proceedings of the 2005 IEEE International Conference on Robotics and Automation
Proceedings of the 2005 IEEE International Conference on Robotics and Automation
Engineering Computer Science