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cs.RO2026
Decentralized End-to-End Multi-AAV Pursuit Using Predictive Spatio-Temporal Observation via Deep Reinforcement Learning
Yude Li, Zhexuan Zhou, Huizhe Li +6
Decentralized cooperative pursuit in cluttered environments is challenging for autonomous aerial swarms, especially under partial and noisy perception. Existing methods often rely…
cs.RO2026
Agile in the Face of Delay: Asynchronous End-to-End Learning for Real-World Aerial Navigation
Yude Li, Zhexuan Zhou, Huizhe Li +2
Robust autonomous navigation for Autonomous Aerial Vehicles (AAVs) in complex environments is a critical capability. However, modern end-to-end navigation faces a key challenge: th…
cs.RO2025
Acetrans: An Autonomous Corridor-Based and Efficient UAV Suspended Transport System
Weiyan Lu, Huizhe Li, Yuhao Fang +5
Unmanned aerial vehicles (UAVs) with suspended payloads offer significant advantages for aerial transportation in complex and cluttered environments. However, existing systems face…