Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Stiffler, Nicholas M"'
This paper studies a multi-robot visibility-based pursuit-evasion problem in which a group of pursuer robots are tasked with detecting an evader within a two dimensional polygonal environment. The primary contribution is a novel formulation of the pu
Externí odkaz:
http://arxiv.org/abs/2109.08715
This paper addresses the visibility-based pursuit-evasion problem where a team of pursuer robots operating in a two-dimensional polygonal space seek to establish visibility of an arbitrarily fast evader. This is a computationally challenging task for
Externí odkaz:
http://arxiv.org/abs/2104.04109
Given a two-dimensional polygonal space, the multi-robot visibility-based pursuit-evasion problem tasks several pursuer robots with the goal of establishing visibility with an arbitrarily fast evader. The best known complete algorithm for this proble
Externí odkaz:
http://arxiv.org/abs/2102.09013
This paper studies the underlying combinatorial structure of a class of object rearrangement problems, which appear frequently in applications. The problems involve multiple, similar-geometry objects placed on a flat, horizontal surface, where a robo
Externí odkaz:
http://arxiv.org/abs/1711.07369
This work studies rearrangement problems involving the sorting of robots or objects in stack-like containers, which can be accessed only from one side. Two scenarios are considered: one where every robot or object needs to reach a particular stack, a
Externí odkaz:
http://arxiv.org/abs/1706.09949
This paper studies the underlying combinatorial structure of a class of object rearrangement problems, which appear frequently in applications. The problems involve multiple, similar-geometry objects placed on a flat, horizontal surface, where a robo
Externí odkaz:
http://arxiv.org/abs/1705.09180
Publikováno v:
2022 International Conference on Robotics and Automation (ICRA).
This paper studies a multi-robot visibility-based pursuit-evasion problem in which a group of pursuer robots are tasked with detecting an evader within a two dimensional polygonal environment. The primary contribution is a novel formulation of the pu
Akademický článek
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Akademický článek
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Publikováno v:
2016 IEEE International Conference on Robotics & Automation (ICRA); 2016, p4251-4258, 8p