Title
Trajectory generation for multi-contact momentum control
Abstract
Simplified models of the dynamics such as the linear inverted pendulum model (LIPM) have proven to perform well for biped walking on flat ground. However, for more complex tasks the assumptions of these models can become limiting. For example, the LIPM does not allow for the control of contact forces independently, is limited to co-planar contacts and assumes that the angular momentum is zero. In this paper, we propose to use the full momentum equations of a humanoid robot in a trajectory optimization framework to plan its center of mass, linear and angular momentum trajectories. The model also allows for planning desired contact forces for each end-effector in arbitrary contact locations. We extend our previous results on linear quadratic regulator (LQR) design for momentum control by computing the (linearized) optimal momentum feedback law in a receding horizon fashion. The resulting desired momentum and the associated feedback law are then used in a hierarchical whole body control approach. Simulation experiments show that the approach is computationally fast and is able to generate plans for locomotion on complex terrains while demonstrating good tracking performance for the full humanoid control.
Year
DOI
Venue
2015
10.1109/HUMANOIDS.2015.7363464
2015 IEEE-RAS 15th International Conference on Humanoid Robots (Humanoids)
Keywords
Field
DocType
body control approach,optimal momentum feedback law,optimal momentum feedback,LQR design,linear quadratic regulator design,end-effector,angular momentum trajectory,linear momentum trajectory,trajectory optimization framework,humanoid robot,angular momentum,biped walking,multicontact momentum control,trajectory generation
Angular momentum,Inverted pendulum,Optimal control,Trajectory optimization,Simulation,Control theory,Computer science,Contact force,Control engineering,Momentum,Linear-quadratic regulator,Humanoid robot
Journal
Volume
ISSN
Citations 
abs/1507.04380
2164-0572
17
PageRank 
References 
Authors
0.81
12
4
Name
Order
Citations
PageRank
A. Herzog1865.27
Nicholas Rotella2844.13
Stefan Schaal36081530.10
Ludovic Righetti471154.91