Collision-avoiding flocking with multiple fixed-wing UAVs in obstacle-cluttered environments: a task-specific curriculum-based MADRL approach

C Yan, C Wang, X Xiang, KH Low… - … on Neural Networks …, 2023 - ieeexplore.ieee.org
Multiple unmanned aerial vehicles (UAVs) are able to efficiently accomplish a variety of
tasks in complex scenarios. However, developing a collision-avoiding flocking policy for …

Multi-target tracking for unmanned aerial vehicle swarms using deep reinforcement learning

W Zhou, Z Liu, J Li, X Xu, L Shen - Neurocomputing, 2021 - Elsevier
In recent years, deep reinforcement learning (DRL) has proved its great potential in multi-
agent cooperation. However, how to apply DRL to multi-target tracking (MTT) problem for …

A survey of the pursuit–evasion problem in swarm intelligence

Z Mu, J Pan, Z Zhou, J Yu, L Cao - Frontiers of Information Technology & …, 2023 - Springer
For complex functions to emerge in artificial systems, it is important to understand the
intrinsic mechanisms of biological swarm behaviors in nature. In this paper, we present a …

Pursuit-evasion game strategy of USV based on deep reinforcement learning in complex multi-obstacle environment

X Qu, W Gan, D Song, L Zhou - Ocean Engineering, 2023 - Elsevier
Aiming at the confrontation game problems between pursuit-evasion unmanned surface
vehicles under complex multi-obstacle environment, a pursuit-evasion game strategy is …

Comprehensive Review of Drones Collision Avoidance Schemes: Challenges and Open Issues

MR Rezaee, NAWA Hamid, M Hussin… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
In the contemporary landscape, the escalating deployment of drones across diverse
industries has ushered in a consequential concern, including ensuring the security of drone …

USV formation navigation decision-making through hybrid deep reinforcement learning using self-attention mechanism

Z Cui, W Guan, X Zhang - Expert Systems with Applications, 2024 - Elsevier
To address the challenging of balancing Unmanned Surface Vessel (USV) autonomous
collision avoidance and formation maintenance in uncertain environments, a formation …

Multi-robot cooperative pursuit via potential field-enhanced reinforcement learning

Z Zhang, X Wang, Q Zhang, T Hu - … International Conference on …, 2022 - ieeexplore.ieee.org
It is of great challenge, though promising, to coordinate collective robots for hunting an
evader in a decentralized manner purely in light of local observations. In this paper, this …

Hierarchical multi-robot navigation and formation in unknown environments via deep reinforcement learning and distributed optimization

L Chang, L Shan, W Zhang, Y Dai - Robotics and Computer-Integrated …, 2023 - Elsevier
Compared with a single robot, Multi-robot Systems (MRSs) can undertake more challenging
tasks in complex scenarios benefiting from the increased transportation capacity and fault …

Threat potential field based Pursuit–Evasion Games for underactuated Unmanned Surface Vehicles

Y Wang, X Wang, W Zhou, H Yan, S Xie - Ocean Engineering, 2023 - Elsevier
Abstract Unmanned Surface Vehicles (USVs) have been widely applied in ocean
engineering. However, there are few studies for Pursuit–Evasion Game based on USVs …

Enhanced UAV Pursuit-Evasion Using Boids Modelling: A Synergistic Integration of Bird Swarm Intelligence and DRL.

W Jin, X Tian, B Shi, B Zhao… - … , Materials & Continua, 2024 - search.ebscohost.com
The UAV pursuit-evasion problem focuses on the efficient tracking and capture of evading
targets using unmanned aerial vehicles (UAVs), which is pivotal in public safety …