DocumentCode
3709433
Title
Unilateral constraints in the Reverse Priority redundancy resolution method
Author
Fabrizio Flacco;Alessandro De Luca
Author_Institution
Dipartimento di Ingegneria Informatica, Automatica e Gestionale, Sapienza Università
fYear
2015
fDate
9/1/2015 12:00:00 AM
Firstpage
2564
Lastpage
2571
Abstract
Our recently developed Reverse Priority (RP) redundancy resolution method is extended here to the presence of unilateral constraints. The RP method computes the solution to a stack of prioritized tasks starting from the lowest priority one, and adding iteratively the contributions of higher priority tasks. In this framework, unilateral constraints can be added efficiently, while guaranteeing also continuity of joint velocity commands. Since unilateral (hard) constraints are typically placed at the highest priority levels, their treatment within the RP method leads to the least possible modification of the solution computed so far, when analyzing the need to activate or not these constraints. The effectiveness of the approach is shown by simulations on a planar 6R robot and on a humanoid robot, as well as experiments on a KUKA LWR manipulator.
Keywords
"Robots","Null space","Jacobian matrices","Redundancy","Damping","Matrix decomposition","Kinematics"
Publisher
ieee
Conference_Titel
Intelligent Robots and Systems (IROS), 2015 IEEE/RSJ International Conference on
Type
conf
DOI
10.1109/IROS.2015.7353726
Filename
7353726
Link To Document