DocumentCode :
1014226
Title :
A Formal-Numerical Approach for Robust In-Workspace Singularity Detection
Author :
Merlet, J.-P.
Author_Institution :
INRIA, Sophia-Antipolis
Volume :
23
Issue :
3
fYear :
2007
fDate :
6/1/2007 12:00:00 AM
Firstpage :
393
Lastpage :
402
Abstract :
Singularity is a major problem for parallel robots as in these configurations the robot cannot be controlled, and there may be infinite forces/torques in its joints, possibly leading to its breakdown. Hence, such a configuration must usually be avoided, and certifying the absence of singularity within a prescribed workspace or on a given trajectory is essential for a practical use of this type of robots. Singularity conditions are usually quite complex, and therefore a purely analytical analysis is difficult. We present here an algorithm that combines formal and numerical calculations for detecting singularity or closeness to a singularity within an arbitrary workspace or trajectory. This algorithm has the very important advantage of being able to deal with any robot mechanical structure and to manage uncertainties in the robot control and in the robot modeling.
Keywords :
position control; robots; robust control; formal-numerical approach; parallel robot; robot control; robot mechanical structure; robot modeling; robust in-workspace singularity detection; singularity conditions; trajectory; Electric breakdown; Force control; Jacobian matrices; Linear systems; Parallel robots; Robot control; Robustness; Service robots; Torque control; Uncertainty; Interval analysis; inverse Jacobian; parallel robot; singularity;
fLanguage :
English
Journal_Title :
Robotics, IEEE Transactions on
Publisher :
ieee
ISSN :
1552-3098
Type :
jour
DOI :
10.1109/TRO.2007.898981
Filename :
4252172
Link To Document :
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