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

被引:8
|
作者
Cohen, Daniel C. [1 ]
Farber, Michael [2 ]
Weinberger, Shmuel [3 ]
机构
[1] Louisiana State Univ, Dept Math, Baton Rouge, LA 70803 USA
[2] Queen Mary Univ London, Sch Math Sci, London E1 4NS, England
[3] Univ Chicago, Dept Math, 5734 S Univ Ave, Chicago, IL 60637 USA
基金
英国工程与自然科学研究理事会; 美国国家科学基金会;
关键词
Parametrized topological complexity; Obstacle-avoiding collision-free motion; CONFIGURATION-SPACES;
D O I
10.1007/s10472-022-09801-6
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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 parametrized 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 Cohen et al. [3] (SIAM J. Appl. Algebra Geom. 5, 229-249), where parametrized 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.
引用
收藏
页码:999 / 1015
页数:17
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