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).
   • Video: https://www.youtube.com/watch?v=yfDtGoDGP70
   • Code: https://github.com/thethaibinh/STEREO
2. B. Nguyen, M. Murshed, T. Choudhury, K. Keogh, G. K. Appuhamillage and L. Nguyen, “Non-Conservative Efficient Collision Checking and Depth Noise-Awareness for Trajectory Planning,” in IEEE Robotics and Automation Letters, vol. 10, no. 8, pp. 7859-7866, Aug. 2025, doi: 10.1109/LRA.2025.3580318.
   • Video: https://www.youtube.com/watch?v=gy2q8j73eBw
   • PDF: https://researchonline.federation.edu.au/vital/access/services/Download/vital:20713/SOURCE1?view=true
   • Code: https://github.com/thethaibinh/MIDI
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
   • Video: https://www.youtube.com/watch?v=85Y4ae2CjIo
   • PDF: https://ieeexplore.ieee.org/document/10556839
   • Code: https://github.com/thethaibinh/STAMINER
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
   • PDF: https://link.springer.com/article/10.1007/s10846-023-01971-7
   • Code: https://github.com/thethaibinh/agile_flight
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
   • Video: https://www.youtube.com/watch?v=0awjK_5kGfw
   • PDF: https://doi.org/10.3390/s23167206
   • Code: https://github.com/thethaibinh/agile_flight/tree/fsd

They are also listed on my official ORCID site here. These projects present the state-of-the-art memoryless planning algorithms for navigating quadrotor in cluttered environments. Demonstration videos playlist: