Title
Sparse Optimization Of Contact Forces For Balancing Control Of Multi-Legged Humanoids
Abstract
Multi-legged humanoid platforms present an inherent redundancy in the number of end-effectors required to perform interaction tasks, such as balancing and manipulation. The most relevant possibility opened up by end-effector redundancy consists in using a subset of the available end-effectors to perform a primary task, while employing the remaining end-effectors to perform a secondary tasks. As a consequence, it necessarily requires a methodology to automatically find the smallest set of end-effectors required to perform a primary task. For the balancing control of a torque-controlled humanoid, this is equivalent to finding a sparse solution of a contact force distribution problem. To this end, two different sparse optimization approaches are presented and extensively discussed in this work. The effectiveness of the proposed approaches has been validated on a simulated model of the CENTAURO robot developed at the Istituto Italiano di Tecnologia.
Year
DOI
Venue
2019
10.1109/LRA.2019.2894379
IEEE ROBOTICS AND AUTOMATION LETTERS
Keywords
Field
DocType
Optimization and optimal control, humanoid robots, force control
Task analysis,Contact force,Control engineering,Robot end effector,Redundancy (engineering),Engineering,Robot,Humanoid robot
Journal
Volume
Issue
ISSN
4
2
2377-3766
Citations 
PageRank 
References 
0
0.34
0
Authors
4
Name
Order
Citations
PageRank
Matteo Parigi Polverini1155.11
Enrico Mingo Hoffman25413.32
Arturo Laurenzi3249.04
NG Tsagarakis41492159.09