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Decidability of Semi-Holonomic Prehensile Task and Motion Planning

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Algorithmic Foundations of Robotics XII

Abstract

In this paper, we define semi-holonomic controllability (SHC) and a general task and motion planning framework. We give a perturbation algorithm that can take a prehensile task and motion planning (PTAMP) domain and create a jointly-controllable-open (JC-open) variant with practically identical semantics. We then present a decomposition-based algorithm that computes the reachability set of a problem instance if a controllability criterion is met. Finally, by showing that JC-open domains satisfy the controllability criterion, we can conclude that PTAMP is decidable.

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Correspondence to Tomás Lozano-Pérez .

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Deshpande, A., Kaelbling, L.P., Lozano-Pérez, T. (2020). Decidability of Semi-Holonomic Prehensile Task and Motion Planning. In: Goldberg, K., Abbeel, P., Bekris, K., Miller, L. (eds) Algorithmic Foundations of Robotics XII. Springer Proceedings in Advanced Robotics, vol 13. Springer, Cham. https://doi.org/10.1007/978-3-030-43089-4_35

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