Publication
Planning singularity-free paths on closed-chain manipulators
Journal Article (2013)
Journal
IEEE Transactions on Robotics
Pages
888-898
Volume
29
Number
4
Doc link
http://dx.doi.org/10.1109/TRO.2013.2260679
File
Authors
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Bohigas Nadal, Oriol
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Henderson, Michael E.
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Ros Giralt, Lluís
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Manubens Ferriol, Montserrat
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Porta Pleite, Josep Maria
Projects associated
Abstract
This paper provides an algorithm for computing singularity-free paths on closed-chain manipulators. Given two nonsingular configurations of the manipulator, the method attempts to connect them through a path that maintains a minimum clearance with respect to the singularity locus at all points, which guarantees the controllability of the manipulator everywhere along the path. The method can be applied to nonredundant manipulators of general architecture, and it is resolution complete. It always returns a path whenever one exists at a given resolution or determines path nonexistence otherwise. The strategy relies on defining a smooth manifold that maintains a one-to-one correspondence with the singularity-free C-space of the manipulator, and on using a higher dimensional continuation technique to explore this manifold systematically from one configuration, until the second configuration is found. If desired, the method can also be used to compute an exhaustive atlas of the whole singularity-free component reachable from a given configuration, which is useful to rapidly resolve subsequent planning queries within such component, or to visualize the singularity-free workspace of any of the manipulator coordinates. Examples are included that demonstrate the performance of the method on illustrative situations.
Categories
robots.
Author keywords
closed-chain motion planning, singularity avoidance, singularity-free path or workspace, higher-dimensional continuation, assembly-mode changing
Scientific reference
O. Bohigas, Michael E. Henderson, L. Ros, M. Manubens and J.M. Porta. Planning singularity-free paths on closed-chain manipulators. IEEE Transactions on Robotics, 29(4): 888-898, 2013.
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