I’m pleased to introduce my latest research articles on aerial robotic navigation:

1. Spatio-Temporal Trajectory Planning on Raw Sensor Observations for Quadrotor in Dynamic Environments (under review).
2. Non-Conservative Efficient Collision Checking and Depth Noise-Awareness for Trajectory Planning (revision submitted to IEEE Robotics and Automation Letters).
3. Nguyen, Thai Binh, Manzur Murshed, Tanveer Choudhury, Kathleen Keogh, Gayan Kahandawa Appuhamillage,
   and Linh Nguyen. 2024. “Online Safe and State-to-State Time-Optimal Trajectory Planning for Quadrotor in
   Unknown Cluttered Environments” ICUAS ’24 https://doi.org/10.1109/ICUAS60882.2024.10556839.
4. Nguyen, B.T., Nguyen, L., Choudhury, T.A. et al. Depth-based Sampling and Steering Constraints for Memoryless Local Planners. J Intell Robot Syst 109, 46 (2023). https://doi.org/10.1007/s10846-023-01971-7
5. Nguyen, Thai Binh, Manzur Murshed, Tanveer Choudhury, Kathleen Keogh, Gayan Kahandawa Appuhamillage, and Linh Nguyen. 2023. “A Depth-Based Hybrid Approach for Safe Flight Corridor Generation in Memoryless Planning” Sensors 23, no. 16: 7206. https://doi.org/10.3390/s23167206

These projects present the state-of-the-art memoryless planning algorithms for navigating quadrotor in cluttered environments.