Strategies for Winning Reach-Avoid Games with Polygonal Obstacles

Core Concepts

The author proposes multiplayer strategies to win reach-avoid games with polygonal obstacles, focusing on hierarchical optimal task allocation and pursuit winning regions.

Abstract

The paper discusses a multiplayer reach-avoid differential game involving pursuers protecting a region from evaders. Pursuit strategies are proposed based on Apollonius circles, convex goal-covering polygons, and Euclidean shortest paths. The goal is to maximize the number of defeated evaders through cooperative strategies.

Stats

Pursuers cooperate to protect a region from evaders.
Pursuit strategy involves Apollonius circles, convex polygons, and shortest paths.
Hierarchical task allocation maximizes defeated evaders.
Strategies ensure capture or delay of evaders reaching the protected region.
Convex goal-covering polygons guarantee consistent goal visibility.
Safe distance optimization ensures non-negative distances between regions.
Pursuit strategies aim to maintain consistent goal visibility for all players.

Quotes

Key Insights Distilled From

Pursuit Winning Strategies for Reach-Avoid Games with Polygonal Obstacles

by Rui Yan,Shua... at arxiv.org 03-12-2024

https://arxiv.org/pdf/2403.06202.pdf

Deeper Inquiries

How do these pursuit strategies compare to traditional approaches in differential games

The pursuit strategies proposed in the context of differential games offer a more comprehensive and efficient approach compared to traditional methods. By incorporating concepts like goal visibility, convex goal-covering polygons, and safe distances, these strategies provide a systematic way for pursuers to guard against evaders in complex environments with obstacles. Traditional approaches often rely on simplistic or ad-hoc strategies that may not be as effective in scenarios with polygonal obstacles. The hierarchical matching and receding-horizon cooperative pursuit strategy presented here allow for coordinated efforts among multiple pursuers to maximize the number of defeated evaders continuously.

What are the implications of obstacles on the efficiency of winning strategies

The presence of obstacles significantly impacts the efficiency of winning strategies in reach-avoid games. Obstacles introduce constraints on player movements, making it challenging to devise winning strategies that guarantee capture or delay of evaders while avoiding collisions with obstacles. Traditional methods without obstacle considerations may not be applicable in such scenarios due to the added complexity introduced by obstacles. The proposed pursuit strategies address this challenge by leveraging computational geometry methods, expanded Apollonius circles, convex goal-covering polygons, and Euclidean shortest paths to navigate around obstacles while ensuring successful captures or delays.

How can these concepts be applied to real-world scenarios beyond gaming

The concepts introduced in these pursuit-winning strategies have broad applications beyond gaming scenarios. For instance:

In autonomous driving systems: These concepts can be utilized for designing collision avoidance algorithms where vehicles need to reach specific destinations while avoiding static or dynamic obstacles.
Search and rescue missions: Teams of drones or robots can use similar cooperative pursuit strategies when searching for targets within obstructed environments.
Security surveillance: Guards patrolling restricted areas can benefit from these techniques to protect critical infrastructure from unauthorized access.
By adapting these ideas into real-world applications, organizations can enhance their operational efficiency and security measures through intelligent decision-making processes based on differential game principles.