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A Relational Positioning Methodology for Robot Task Specification and Execution

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3 Author(s)
Rodriguez, A. ; Inst. of Ind. & Control Eng., Tech. Univ. of Catalonia, Barcelona ; Basaez, L. ; Celaya, E.

This paper presents a relational positioning methodology that allows to restrict totally or partially the movements of an object by specifying its allowed positions in terms of a set of intuitive geometric constraints. In order to derive these positions, a geometric constraint solver must be used. To this end, positioning mobile with respect to fixed (PMF), a geometric constraint solver for the relational positioning of rigid objects in free space is introduced. The solver exploits the fact that, in a set of geometric constraints, the rotational component can often be separated from the translational one and solved independently. PMF may be used as an interface for specifying offline-programmed robot tasks, as well as for assisting the execution of teleoperated tasks requiring constrained movements. Examples describing both the solver's operation and typical applications are discussed.

Published in:

Robotics, IEEE Transactions on  (Volume:24 ,  Issue: 3 )

Date of Publication:

June 2008

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