Title
Efficient Locomotion Planning for a Humanoid Robot with Whole-Body Collision Avoidance Guided by Footsteps and Centroidal Sway Motion
Abstract
In this paper, we propose a locomotion planning framework for a humanoid robot with an efficient footstep and whole-body collision avoidance planning, which enables the robot to traverse an unknown narrow space while utilizing its body structure like a human. The key idea of the proposed method is to reduce a large computational cost for the whole-body locomotion planning by executing global footstep planning first, which has a much smaller search space, and then performing a sequential whole-body posture planning while utilizing the resulting footsteps and a centroidal trajectory as a guide. In the global footstep planning phase, we modify bounding box of the robot based on the centroidal sway motion. This idea enables the planner to obtain appropriate footsteps for next whole-body motion planning. Then, we execute sequential whole-body collision avoidance motion planning by prioritized inverse kinematics based on the resulting footsteps and centroidal trajectory, which enables the robot to plan whole-body collision avoidance motion for each step within less than 100ms at worst. The major contribution of our paper is solving the problem of the increasing computational cost for whole-body motion planning and enabling a humanoid robot to execute adaptive locomotion planning on the spot in an unknown narrow space.
Year
DOI
Venue
2018
10.1109/HUMANOIDS.2018.8624927
2018 IEEE-RAS 18th International Conference on Humanoid Robots (Humanoids)
Keywords
Field
DocType
centroidal trajectory,global footstep planning phase,centroidal sway motion,whole-body collision avoidance motion planning,humanoid robot,adaptive locomotion planning,locomotion planning framework,whole-body locomotion planning,whole-body posture,prioritized inverse kinematics
Motion planning,Inverse kinematics,Computer science,Control theory,Collision,Robot,Trajectory,Traverse,Humanoid robot,Minimum bounding box
Conference
ISSN
ISBN
Citations 
2164-0572
978-1-5386-7284-6
0
PageRank 
References 
Authors
0.34
13
4
Name
Order
Citations
PageRank
Kumagai, I.175.29
Mitsuharu Morisawa264749.09
Shinichiro Nakaoka346132.58
Fumio KANEHIRO42304204.18