Yunfan REN πŸ€–
Yunfan REN (Kevin)

Ph.D.

About Me

My name is Yunfan RenπŸ‘¨β€πŸŽ“ (δ»»δΊ‘εΈ†), and I am a postdoctoral researcher in the Robotics and Perception Group (RPG), collaborating with Professor Davide Scaramuzza. I completed my Ph.D. in Robotics in July 2025, at the University of Hong Kong in the MaRS Lab, supervised by Professor Fu Zhang. My research focuses on Autonomous Aerial Robots, Swarm Intelligence, and Reinforcement Learning.

I have published 20 papers during my Ph.D. in leading journals and conferences, including Science Robotics, Nature Communications, T-RO (5 papers), T-Mech, IJRR, RA-L, ICRA (Outstanding Navigation Paper Finalist), and IROS (Best Overall and Best Student Paper Finalist). Of these, I am the first or co-first author on 12 papers, including 1 in Science Robotics , 2 in T-RO, 1 in T-Mech two paper awards in ICRA and IROS and others.

For a full list of my publications, visit my Google ScholarπŸ“ˆ.

I am honored to serve as an Associate Editor for IEEE Robotics and Automation Letters (RA-L) and the International Conference on Robotics and Automation (ICRA). In these roles, I aim to foster high-quality research, promote innovative ideas, and strengthen the global robotics community.

Beyond academia, I actively contribute to open-source projects. My research code on GitHub has accumulated over 4k stars ⭐. Notable repositories include SUPER (β˜…622), ROG-Map (β˜…460), FAST-LIVO2 (β˜…2.8k), and LiDAR_IMU_Init (β˜…1k).

Download CV
Interests
  • Autonomous Aerial Robots
  • Swarm Intelligence
  • Reinforcement Learning
Education
  • Ph.D. Robotics

    University of Hong Kong

  • B.E. Automation

    Harbin Institute of Technology (Shenzhen)

Recent News

SUPER is published in Science Robotics!

Our new paper on autonomous aerial robots published in Science Robotics and been selected as the visual feature on Science website.

Featured Publications
Recent Publications
(2025). Safety-assured High-speed Navigation for MAVs. Science Robotics.
(2024). Real-time Bandwidth-efficient Occupancy Grid Map Synchronization for Multi-Robot Systems. In IROS 2024.
(2024). Swarm-LIO2: Decentralized Efficient LiDAR-Inertial Odometry for Aerial Swarm Systems. T-RO.
Awards