4 papers
Collision Avoidance for Multiple UAVs in Unknown Scenarios with Causal Representation Disentanglement
Jiafan Zhuang, Zihao Xia, Gaofei Han +6
Deep reinforcement learning (DRL) has achieved remarkable progress in online path planning tasks for multi-UAV systems. However, existing DRL-based methods often suffer from perfor…
Robust Policy Learning for Multi-UAV Collision Avoidance with Causal Feature Selection
Jiafan Zhuang, Gaofei Han, Zihao Xia +6
In unseen and complex outdoor environments, collision avoidance navigation for unmanned aerial vehicle (UAV) swarms presents a challenging problem. It requires UAVs to navigate thr…
VG-Swarm: A Vision-based Gene Regulation Network for UAVs Swarm Behavior Emergence
Yuwei Cai, Huanlin Li, Zhun Fan +6
Unmanned Aerial Vehicles (UAVs) dynamic encirclement is an emerging field with great potential. Researchers often get inspiration from biological systems, either from macro-world l…
Vision-based Distributed Multi-UAV Collision Avoidance via Deep Reinforcement Learning for Navigation
Huaxing Huang, Guijie Zhu, Zhun Fan +5
Online path planning for multiple unmanned aerial vehicle (multi-UAV) systems is considered a challenging task. It needs to ensure collision-free path planning in real-time, especi…