AIRO Lab

Autonomous & Intelligent RObotics Lab @ PolyU Research Centre for Unmanned Autonomous Systems

About Us

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Welcome to the Autonomous and Intelligent Robotics Lab (AIRO Lab)! We are one of the member of the Research Centre for Unmanned Autonomous Systems, of the Department of Aeronautical and Aviation Engineering of The Hong Kong Polytechnic University. Feel free to browse through our research paper (click me) and code (click me); drop us an email or issue for any discussion!



news

Jun 06, 2024 Our group won the first runner-up prize at the 2024 International Conference on Unmanned Aircraft Systems (ICUAS’24) Unmanned Aerial Vehicle (UAV) Competition held in Chania, Crete, Greece.
May 24, 2024 Our paper “Advancing UAV-based Inspection System: The USSA-Net Segmentation Approach to Crack Quantification.”, authored by Tse, Kwai-Wa, Rendong Pi, Wenyu Yang, Xiang Yu, and Chih-Yung Wen, is accepted for publication in the IEEE Transactions on Instrumentation and Measurement (TIM).
Jun 09, 2023 Our group won the first runner-up prize at the 2023 International Conference on Unmanned Aircraft Systems (ICUAS’23) Unmanned Aerial Vehicle (UAV) Competition held in held in Warsaw, Poland.
Jun 09, 2023 Our group won the first runner-up prize at the 2023 International Conference on Unmanned Aircraft Systems (ICUAS’23) Unmanned Aerial Vehicle (UAV) Competition held in held in Warsaw, Poland.
Jun 09, 2016 Our group won the championship at the 2016 Taiwan UAV Creative Design Competition (台湾无人飞机设计竞赛) Taiwan.

selected publications

  1. crack_inspection.png
    Advancing UAV-based Inspection System: The USSA-Net Segmentation Approach to Crack Quantification
    Kwai-Wa Tse, Rendong Pi, Wenyu Yang, and 2 more authors
    IEEE Transactions on Instrumentation and Measurement, 2024
  2. landing.png
    Towards Non-Robocentric Dynamic Landing of Quadrotor UAVs
    Li-Yu Lo, Boyang Li, Chih-Yung Wen, and 1 more author
    arXiv preprint arXiv:2401.11445, 2024
  3. chenhan.png
    Flying in Dynamic Scenes With Multitarget Velocimetry and Perception-Enhanced Planning
    Han Chen, Chih-Yung Wen, Fei Gao, and 1 more author
    IEEE/ASME Transactions on Mechatronics, 2023
  4. flvis.png
    Stereo visual inertial pose estimation based on feedforward and feedbacks
    Shengyang Chen, Yurong Feng, Chih-Yung Wen, and 2 more authors
    IEEE/ASME Transactions on Mechatronics, 2023