Title
Robust human-inspired power law trajectories for humanoid HRP-2 robot
Abstract
The one-third power law models how human speed of motion depends on the path's curvature. This paper studies the interest of using this law for humanoid robot walking control along a planar reference trajectory. We predicted that humanoid robots following a reference trajectory may benefit from one-third power law speed profiles by reducing closed-loop drift and energy consumption. To robustly execute reference trajectories, we use contracting morphed Andronov-Hopf oscillators, regularized to follow a power law while converging to a planned cyclic trajectory. The walking pattern generator of HRP-2 uses these guiding dynamics to walk along elliptic trajectories. In dynamic simulation, we observe minimal geometric drift with the one-third power law, demonstrating increased precision compared with constant speed and other power laws. Closed-loop experiments on HRP-2 result in a small drift of all power law motions from the reference trajectory, showing the efficiency of the control architecture. We observe that the one-third power law controller demands less compensatory action, and therefore lowers the burden on the hardware. Slowing in curved movement regions also unexpectedly allows for faster overall movement.
Year
DOI
Venue
2016
10.1109/BIOROB.2016.7523606
2016 6th IEEE International Conference on Biomedical Robotics and Biomechatronics (BioRob)
Keywords
Field
DocType
robust human-inspired power law trajectories,humanoid HRP-2 robot,one-third power law models,walking control,planar reference trajectory,closed-loop drift,energy consumption,Andronov-Hopf oscillators,planned cyclic trajectory,dynamic simulation,power law controller
Control theory,Control theory,Simulation,Digital pattern generator,Robot,Power law,Energy consumption,Dynamic simulation,Trajectory,Mathematics,Humanoid robot
Conference
ISSN
ISBN
Citations 
2155-1782
978-1-5090-3288-4
0
PageRank 
References 
Authors
0.34
0
6
Name
Order
Citations
PageRank
M. Karklinsky100.34
Maximilien Naveau2444.45
Albert Mukovskiy3617.24
Olivier Stasse4143885.86
Tamar Flash516738.81
Philippe Souères632343.63