Parametrized topological complexity of collision-free motion planning in the plane

October 19, 2020 Β· Declared Dead Β· πŸ› Annals of Mathematics and Artificial Intelligence

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Authors Daniel C. Cohen, Michael Farber, Shmuel Weinberger arXiv ID 2010.09809 Category math.AT Cross-listed cs.RO, math.GT Citations 23 Venue Annals of Mathematics and Artificial Intelligence Last Checked 3 months ago
Abstract
Parametrized motion planning algorithms have high degrees of universality and flexibility, as they are designed to work under a variety of external conditions, which are viewed as parameters and form part of the input of the underlying motion planning problem. In this paper, we analyze the parameterized motion planning problem for the motion of many distinct points in the plane, moving without collision and avoiding multiple distinct obstacles with a priori unknown positions. This complements our prior work [arXiv:2009.06023], where parameterized motion planning algorithms were introduced, and the obstacle-avoiding collision-free motion planning problem in three-dimensional space was fully investigated. The planar case requires different algebraic and topological tools than its spatial analog.
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