参数化运动规划算法的拓扑结构

IF 1.6 2区 数学 Q2 MATHEMATICS, APPLIED SIAM Journal on Applied Algebra and Geometry Pub Date : 2020-09-13 DOI:10.1137/20M1358505
Daniel C. Cohen, M. Farber, S. Weinberger
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引用次数: 15

摘要

本文引入并研究了参数化拓扑复杂度的新概念,这是一个由机器人运动规划问题引起的拓扑不变量。在参数化设置下,运动规划算法具有高度的通用性和灵活性,可以在多种外部条件下(如障碍物的位置等)发挥作用。我们明确地计算了三维空间中多粒子(机器人)避障无碰撞运动的参数化拓扑复杂度。我们的研究结果表明,参数化拓扑复杂度可以显著高于标准(非参数化)不变量。
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Topology of Parametrized Motion Planning Algorithms
In this paper we introduce and study a new concept of parametrised topological complexity, a topological invariant motivated by the motion planning problem of robotics. In the parametrised setting, a motion planning algorithm has high degree of universality and flexibility, it can function under a variety of external conditions (such as positions of the obstacles etc). We explicitly compute the parameterised topological complexity of obstacle-avoiding collision-free motion of many particles (robots) in 3-dimensional space. Our results show that the parameterised topological complexity can be significantly higher than the standard (nonparametrised) invariant.
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来源期刊
CiteScore
2.20
自引率
0.00%
发文量
19
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