Abstract
Kinematic loop-closure constraints significantly increase the difficulty of motion planning for articulated mechanisms. Configurations of closed-chain mechanisms do not form a single manifold, easy to parameterize, as the configurations of open kinematic chains. In general, they are grouped into several subsets with complex and a priori unknown topology. Sampling-based motion planning algorithms cannot be directly applied to such closed-chain systems. This paper describes our recent work [7] on the extension of sampling-based planners to treat this kind of mechanisms.
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Cortés, J., Siméon, T. Sampling-Based Motion Planning under Kinematic Loop-Closure Constraints. In: Erdmann, M., Overmars, M., Hsu, D., van der Stappen, F. (eds) Algorithmic Foundations of Robotics VI. Springer Tracts in Advanced Robotics, vol 17. Springer, Berlin, Heidelberg. https://doi.org/10.1007/10991541_7
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DOI: https://doi.org/10.1007/10991541_7
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Publisher Name: Springer, Berlin, Heidelberg
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