Title
Balancing Control Through Post-Optimization of Contact Forces
Abstract
In this work we present a novel method to address the balancing problem for torque controlled legged robots through post-optimization of contact forces. The main concept consists in treating a legged robot as a fully actuated fixed-base system in order to compute the desired joint torques according to a fixed-based torque controller. The under-actuated component of the obtained torques is then mapped into contact forces through an optimal distribution problem. Besides extending previous work to the floating-base case, the proposed method has the notable advantage of avoiding the specification of a desired momentum of rotation, in addition to a reduced number of decision variables compared to full-inverse dynamics methods. The effectiveness of our approach has been validated in simulation using two different humanoid platforms: the CEN-TAURO and the COMAN+ robots, both recently developed at Istituto Italiano di Tecnologia (IIT). Preliminary experimental results on COMAN+ are also presented.
Year
DOI
Venue
2018
10.1109/HUMANOIDS.2018.8625013
2018 IEEE-RAS 18th International Conference on Humanoid Robots (Humanoids)
Keywords
Field
DocType
CEN-TAURO,Istituto Italiano di Tecnologia,balancing control,COMAN+ robots,full-inverse dynamics methods,optimal distribution problem,under-actuated component,fixed-based torque controller,fixed-base system,legged robot,contact forces,post-optimization
Decision variables,Torque,Computer science,Control theory,Legged robot,Contact force,Momentum,Robot,Torque controller
Conference
ISSN
ISBN
Citations 
2164-0572
978-1-5386-7284-6
0
PageRank 
References 
Authors
0.34
18
4
Name
Order
Citations
PageRank
Arturo Laurenzi1249.04
Enrico Mingo Hoffman25413.32
Matteo Parigi Polverini3155.11
NG Tsagarakis41492159.09