Abstract Autonomous Surface Vessels (ASVs) excel at undertaking hazardous tasks,
garnering significant attention recently. Particularly, ASV cooperative defense is a crucial …

When multi-dynamic target UAVs escape, the uncertainty of the formation method and the
external environment causes difficulties in rounding them up, so suitable solutions are …

A method based on deep neural network (DNN) optimized model predictive control (MPC)
and standoff fusion is proposed to address the problem of tracking moving target trajectory …

To improve the efficiency and success rate of multi unmanned surface vehicles (USVs)
cooperative hunting, this paper proposed a sequential decision cooperative hunting …

Due to unmanned aerial vehicles (UAVs) flexibility and affordability, the UAVs swarm
network (USNET) is widely used for various complex, challenging tasks such as tracking …

作为多智能体对抗博弈问题的重要分支, 追逃博弈(Pursuit-evasion, PE) 问题在控制和机器人
领域得到了广泛的应用, 受到众多研究者的密切关注. 追逃博弈问题主要聚焦于追逐者和逃跑者 …

针对未知环境下的多机器人环境感知和围捕问题, 提出了一种基于变分稀疏高斯过程回归的分布
式感知与围捕算法. 考虑到传统高斯过程回归不适合处理大量数据的问题, 在这项工作中 …

Addressing the complexity of collaborative decision-making within heterogeneous UAV
swarms in dynamic scenarios, and the difficulty in understanding the overall mission, this …

This paper proposes a cooperative hunting algorithm based on multi-agent reinforcement
learning (MARL) to address the problem of cooperative hunting at sea involving an evasive …

In the context of the pursuit and escape game scenario involving UAVs within a multi-
obstacle environment with limited visibility, a novel game strategy model is proposed. For …