[2024 – 2026] Unmanned Aerial Vehicles (UAVs) and Autonomous Mobile Robots (AMRs) are foundational platforms for 6G-era applications spanning aerial surveillance, disaster response, warehouse logistics, and precision agriculture. Autonomous trajectory planning under interference, partial observability, energy constraints, and multi-agent coordination remains a central bottleneck.Read more
[2023 – 2025] This project seeks to establish a scientifically framework for Level-4 autonomous flight of unmanned aerial vehicles (UAVs). Unlike traditional methods limited to static, spatial path planning, this research integrates 4D spatiotemporal representations, predictive world-models, safety-constrained reinforcement learning, and GPS-independent Vision-Language(-Action) (VLM/VLA) modules. The resulting system aims to achieve safe, efficient, and flexible navigation in dynamic, uncertain environments while addressing regulatory certification requirements.Read more
