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相关论文: Stochastic Strategies for Robotic Surveillance as …

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Stochastic patrol routing is known to be advantageous in adversarial settings; however, the optimal choice of stochastic routing strategy is dependent on a model of the adversary. We adopt a worst-case omniscient adversary model from the…

系统与控制 · 电气工程与系统科学 2025-04-10 Yohan John , Gilberto Diaz-Garcia , Xiaoming Duan , Jason R. Marden , Francesco Bullo

This article surveys recent advancements of strategy designs for persistent robotic surveillance tasks with the focus on stochastic approaches. The problem describes how mobile robots stochastically patrol a graph in an efficient way where…

最优化与控制 · 数学 2020-08-21 Xiaoming Duan , Francesco Bullo

Using mobile robots for autonomous patrolling of environments to prevent intrusions is a topic of increasing practical relevance. One of the most challenging scientific issues is the problem of finding effective patrolling strategies that,…

计算机科学与博弈论 · 计算机科学 2009-12-18 Nicola Basilico , Nicola Gatti , Francesco Amigoni

Interdicting a criminal with limited police resources is a challenging task as the criminal changes location over time. The size of the large transportation network further adds to the difficulty of this scenario. To tackle this issue, we…

人工智能 · 计算机科学 2026-04-08 Sukanya Samanta , Kei Kimura , Makoto Yokoo , Palash Dey

We study a continuous-time stochastic Stackelberg game in which a leader seeks to accomplish a primary objective while inferring a hidden parameter of a rational follower. The follower solves an entropy-regularized tracking problem and…

最优化与控制 · 数学 2025-10-08 Ruimeng Hu , Daniel Ralston , Xu Yang , Haosheng Zhou

In this paper we consider a robot patrolling problem in which events arrive randomly over time at the vertices of a graph. When an event arrives it remains active for a random amount of time. If that time active exceeds a certain threshold,…

机器人学 · 计算机科学 2014-09-17 Ahmad Bilal Asghar , Stephen L. Smith

A group of cooperative aerial robots can be deployed to efficiently patrol a terrain, in which each robot flies around an assigned area and shares information with the neighbors periodically in order to protect or supervise it. To ensure…

机器人学 · 计算机科学 2022-09-16 Luis E. Caraballo , José M. Díaz-Báñez , Ruy Fabila-Monroy , Carlos Hidalgo-Toscan

We consider the problem of security-aware planning in an unknown stochastic environment, in the presence of attacks on control signals (i.e., actuators) of the robot. We model the attacker as an agent who has the full knowledge of the…

机器人学 · 计算机科学 2026-04-07 Alper Kamil Bozkurt , Yu Wang , Miroslav Pajic

This paper studies a stochastic game theoretic approach to security and intrusion detection in communication and computer networks. Specifically, an Attacker and a Defender take part in a two-player game over a network of nodes whose…

密码学与安全 · 计算机科学 2010-03-15 Kien C. Nguyen , Tansu Alpcan , Tamer Basar

In a Stackelberg game, a leader commits to a randomized strategy, and a follower chooses their best strategy in response. We consider an extension of a standard Stackelberg game, called a discrete-time dynamic Stackelberg game, that has an…

计算机科学与博弈论 · 计算机科学 2022-02-11 Niklas Lauffer , Mahsa Ghasemi , Abolfazl Hashemi , Yagiz Savas , Ufuk Topcu

The problem of adversarial multi-robot patrol has gained interest in recent years, mainly due to its immediate relevance to various security applications. In this problem, robots are required to repeatedly visit a target area in a way that…

多智能体系统 · 计算机科学 2014-01-17 Noa Agmon , Gal A. Kaminka , Sarit Kraus

The Team Orienteering Problem (TOP) generalizes many real-world multi-robot scheduling and routing tasks that occur in autonomous mobility, aerial logistics, and surveillance applications. While many flavors of the TOP exist for planning in…

机器人学 · 计算机科学 2025-10-29 Malintha Fernando , Petter Ögren , Silun Zhang

This paper addresses the problem of detecting possible intruders in a group of autonomous robots, which coexist in a shared environment and interact with each other according to a set of "social behaviors", or common rules. Such rules…

机器人学 · 计算机科学 2011-01-13 Adriano Fagiolini , Gianluca Dini , Antonio Bicchi

In this article, we study a discounted stochastic game to model resource optimal intrusion detection in wireless sensor networks. To address the problem of uncertainties in various network parameters, we propose a globalized robust game…

计算机科学与博弈论 · 计算机科学 2019-10-29 Debdas Ghosh , Akshay Sharma , K. K. Shukla

The Stackelberg game model, where a leader commits to a strategy and the follower best responds, has found widespread application, particularly to security problems. In the security setting, the goal is for the leader to compute an optimal…

计算机科学与博弈论 · 计算机科学 2022-09-19 Sai Mali Ananthanarayanan , Christian Kroer

We study Stackelberg games where a principal repeatedly interacts with a non-myopic long-lived agent, without knowing the agent's payoff function. Although learning in Stackelberg games is well-understood when the agent is myopic, dealing…

计算机科学与博弈论 · 计算机科学 2025-05-29 Nika Haghtalab , Thodoris Lykouris , Sloan Nietert , Alexander Wei

Similar to a strategic interaction between rational and intelligent agents, cryptography problems can be examined through the prism of game theory. In this setting, the agent aiming to protect a message is called the defender, while the one…

密码学与安全 · 计算机科学 2026-04-28 Willie Kouam , Stefan Rass , Zahra Seyedi , Shahzad Ahmad , Eckhard Pfluegel

This paper presents a game theoretic formulation of a graph traversal problem, with applications to robots moving through hazardous environments in the presence of an adversary, as in military and security scenarios. The blue team of robots…

计算机科学与博弈论 · 计算机科学 2024-10-01 James Berneburg , Xuan Wang , Xuesu Xiao , Daigo Shishika

This work explores a variation of the art gallery problem in which a team of static and mobile guards track a mobile intruder with unknown maximum speed. First, we present an algorithm to identify {\it candidate vertices} in a polygon at…

计算几何 · 计算机科学 2018-07-24 Guillermo J. Laguna , Sourabh Bhattacharya

We study Stackelberg equilibria in finitely repeated games, where the leader commits to a strategy that picks actions in each round and can be adaptive to the history of play (i.e. they commit to an algorithm). In particular, we study…

计算机科学与博弈论 · 计算机科学 2024-03-08 Natalie Collina , Eshwar Ram Arunachaleswaran , Michael Kearns
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