arXivDaily arXiv每日学术速递 周一至周五更新
arXiv周末暂无论文更新,休息一下吧,周末愉快~~
arXiv 2005.07917cs.DCcs.CGcs.RO
收藏

匿名无记忆机器人在有限可见性下的圆周聚集

Gathering on a Circle with Limited Visibility by Anonymous Oblivious Robots

Sapienza University of Rome(罗马大学);JAIST(日本先进科学技术研究所);University of Aizu(会津大学);Kyushu University(九州大学)

Giuseppe A. Di Luna, Ryuhei Uehara, Giovanni Viglietta, Yukiko Yamauchi

AI总结:

本文研究了在半同步调度和有限可见性条件下,匿名无记忆机器人在圆周上的聚集问题,证明了当可见角距离为π时存在解决算法,而当其不大于π/2时则无解。

摘要:

一群匿名无记忆移动机器人在确定性的“观察-计算-移动”(Look-Compute-Move)周期中运行,并被限制在圆形轨道内。所有机器人对顺时针方向达成一致(手性,chirality),它们由对抗性的半同步调度器(SSYNCH)激活,且被激活的机器人总是能到达其计算出的目标点(刚性,rigidity)。机器人的可见性有限:每个机器人只能看到圆周上与其当前位置角距离严格小于常数 $\vartheta$ 的点,其中 $0<\vartheta\leqπ$(角度以弧度表示)。\n我们研究了此类机器人集群的聚集(Gathering)问题:即所有机器人最初位于圆周上的不同位置,它们的任务是在有限轮次内到达圆周上的同一点,而不管调度器如何激活它们。注意,由于机器人的匿名性,如果初始配置具有旋转对称性,则此任务是不可能的;因此,我们必须假设初始配置是旋转不对称的。\n我们证明,如果 $\vartheta=π$(即每个机器人能看到除其对跖点外的整个圆周),则存在一种分布式算法,能够为任意规模的集群解决聚集问题。相反,我们还证明,如果 $\vartheta\leq π/2$,则无论集群规模多大,即使假设初始配置旋转不对称且机器人的可见性图是连通的,也没有任何分布式算法能解决聚集问题。\n后者的不可能性结果依赖于一种基于随机扰动的概率技术,该技术在匿名移动机器人领域是新颖的。这种技术具有独立的研究意义,并可立即应用于其他模式形成(Pattern-Formation)问题。

英文摘要:

A swarm of anonymous oblivious mobile robots, operating in deterministic Look-Compute-Move cycles, is confined within a circular track. All robots agree on the clockwise direction (chirality), they are activated by an adversarial semi-synchronous scheduler (SSYNCH), and an active robot always reaches the destination point it computes (rigidity). Robots have limited visibility: each robot can see only the points on the circle that have an angular distance strictly smaller than a constant $\vartheta$ from the robot's current location, where $0<\vartheta\leqπ$ (angles are expressed in radians). We study the Gathering problem for such a swarm of robots: that is, all robots are initially in distinct locations on the circle, and their task is to reach the same point on the circle in a finite number of turns, regardless of the way they are activated by the scheduler. Note that, due to the anonymity of the robots, this task is impossible if the initial configuration is rotationally symmetric; hence, we have to make the assumption that the initial configuration be rotationally asymmetric. We prove that, if $\vartheta=π$ (i.e., each robot can see the entire circle except its antipodal point), there is a distributed algorithm that solves the Gathering problem for swarms of any size. By contrast, we also prove that, if $\vartheta\leq π/2$, no distributed algorithm solves the Gathering problem, regardless of the size of the swarm, even under the assumption that the initial configuration is rotationally asymmetric and the visibility graph of the robots is connected. The latter impossibility result relies on a probabilistic technique based on random perturbations, which is novel in the context of anonymous mobile robots. Such a technique is of independent interest, and immediately applies to other Pattern-Formation problems.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

↑