Multi-robot target detection and tracking: taxonomy and survey

C Robin, S Lacroix - Autonomous Robots, 2016 - Springer
Target detection and tracking encompasses a variety of decisional problems such as
coverage, surveillance, search, patrolling, observing and pursuit-evasion along with others …

Monte Carlo continual resolving for online strategy computation in imperfect information games

M Sustr, V Kovarík, V Lisy - arXiv preprint arXiv:1812.07351, 2018 - arxiv.org
Online game playing algorithms produce high-quality strategies with a fraction of memory
and computation required by their offline alternatives. Continual Resolving (CR) is a recent …

USV trajectory planning for time varying motion goals in an environment with obstacles

P Svec, A Thakur, BC Shah… - … and information in …, 2012 - asmedigitalcollection.asme.org
Safe and efficient following of a time varying motion goal by an autonomous unmanned
surface vehicle (USV) in a sea environment with obstacles is a challenge. The vehicle's …

Game tree search for minimizing detectability and maximizing visibility

Z Zhang, JM Smereka, J Lee, L Zhou, Y Sung… - Autonomous …, 2021 - Springer
We introduce and study the problem of planning a trajectory for an agent to carry out a
scouting mission while avoiding being detected by an adversarial opponent. This introduces …

Distributed Model-Free Optimal Control for Multiagent Pursuit-Evasion Differential Games

H Zhang, W Zhao, H Ge, X Xie… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
This paper designs optimal control polices for networked multiagent pursuit-evasion game
(MPEG) problems based on reinforcement learning (RL) technique. Depending on the …

[PDF][PDF] Generating strategies for multi-agent pursuit-evasion games in partially observable euclidean space

E Raboin, U Kuter, D Nau - … of the 11th International Conference on …, 2012 - Citeseer
We present a heuristic search technique for multi-agent pursuitevasion games in partially
observable Euclidean space where a team of tracker agents attempt to minimize their …

Value functions for depth-limited solving in zero-sum imperfect-information games

V Kovařík, D Seitz, V Lisý, J Rudolf, S Sun, K Ha - Artificial Intelligence, 2023 - Elsevier
We provide a formal definition of depth-limited games together with an accessible and
rigorous explanation of the underlying concepts, both of which were previously missing in …

Multiagent Cooperative Learning Strategies for Pursuit‐Evasion Games

JY Kuo, HF Yu, KFR Liu, FW Lee - Mathematical Problems in …, 2015 - Wiley Online Library
This study examines the pursuit‐evasion problem for coordinating multiple robotic pursuers
to locate and track a nonadversarial mobile evader in a dynamic environment. Two kinds of …

[PDF][PDF] Anytime algorithms for multi-agent visibility-based pursuit-evasion games

V Lisý, B Bošanský, M Pěchouček - Proceedings of the 11th …, 2012 - aamas.csc.liv.ac.uk
We investigate algorithms for playing multi-agent visibilitybased pursuit-evasion games. A
team of pursuers attempts to maintain visibility contact with an evader who actively avoids …

[PDF][PDF] Staco: Stackelberg-based coverage approach in robotic swarms

K Stanková, B Ranjbar-Sahraei, G Weiss… - Proceedings of ADAPTIVE …, 2013 - Citeseer
Voronoi coverage applications. Its advantages are its simplicity of implementation and
asymptotic convergence to the robots' optimal position. However, the speed of this …