A Depth-Based Hybrid Approach for Safe Flight Corridor Generation in Memoryless Planning

Posted on By binh

I want to introduce my latest research articles on aerial robotic navigation:

  1. 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 (accepted).
  2. 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
  3. 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 explore the state-of-the-art memoryless planning algorithms’ capability for obstacle avoidance in cluttered environments.

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