Multi-robot target detection and tracking: taxonomy and survey
Target detection and tracking encompasses a variety of decisional problems such as
coverage, surveillance, search, patrolling, observing and pursuit-evasion along with others …
coverage, surveillance, search, patrolling, observing and pursuit-evasion along with others …
Monte Carlo continual resolving for online strategy computation in imperfect information games
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 …
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
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 …
surface vehicle (USV) in a sea environment with obstacles is a challenge. The vehicle's …
Game tree search for minimizing detectability and maximizing visibility
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 …
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 …
(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
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 …
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
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 …
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 …
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
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 …
team of pursuers attempts to maintain visibility contact with an evader who actively avoids …
[PDF][PDF] Staco: Stackelberg-based coverage approach in robotic swarms
Voronoi coverage applications. Its advantages are its simplicity of implementation and
asymptotic convergence to the robots' optimal position. However, the speed of this …
asymptotic convergence to the robots' optimal position. However, the speed of this …