Perimeter-defense Game between Aerial Defender and Ground Intruder
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Abstract (arXiv)
We study a variant of pursuit-evasion game in the context of perimeter defense. In this problem, the intruder aims to reach the base plane of a hemisphere without being captured by the defender, while the defender tries to capture the intruder. The perimeter-defense game was previously studied under the assumption that the defender moves on a circle. We extend the problem to the case where the defender moves on a hemisphere. To solve this problem, we analyze the strategies based on the breaching point at which the intruder tries to reach the target and predict the goal position, defined as optimal breaching point, that is achieved by the optimal strategies on both players. We provide the barrier that divides the state space into defender-winning and intruder-winning regions and prove that the optimal strategies for both players are to move towards the optimal breaching point. Simulation results are presented to demonstrate that the optimality of the game is given as a Nash equilibrium.
Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). First posted on arXiv 29 Dec 2020.
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Citing papers per year: 2022: 2; 2023: 1; 2024: 0; 2025: 1.
4 papers.
- 2023Graph Neural Networks for Decentralized Multi-Agent Perimeter Defensecited by 3
- 2022Vision-based Perimeter Defense via Multiview Pose Estimationcited by 2
- 2022Learning Decentralized Strategies for a Perimeter Defense Game with Graph Neural Networkscited by 2
- 2025Embedded Mean Field Reinforcement Learning for Perimeter-defense Gamecited by 0
- 2025Embedded Mean Field Reinforcement Learning for Perimeter-defense Game20 May 2025
- 2023Graph Neural Networks for Decentralized Multi-Agent Perimeter Defense23 Jan 2023
- 2022Vision-based Perimeter Defense via Multiview Pose Estimation25 Sep 2022
- 2022Learning Decentralized Strategies for a Perimeter Defense Game with Graph Neural Networks24 Sep 2022