LAFR accepted by RSS
Our paper LAFR has been accepted by Robotics: Science and Systems (RSS).
I am Yunfan Ren 👨🎓 (任云帆), an Associate Professor at Tongji University, where I lead the ORCA Lab (Omni RobotiCs & AI Lab). Before joining Tongji, I was a postdoctoral researcher in the Robotics and Perception Group (RPG) with Professor Davide Scaramuzza. I received my Ph.D. in Robotics from the University of Hong Kong in July 2025, advised by Professor Fu Zhang in the MaRS Lab.
🚀 正在招生:招收 2027 年春季入学 直博 / 普博生 若干;2027 年秋季入学 硕士生(接收保研推免);长期招收 博士后。欢迎 本科生 加入科研实习或完成毕业设计。研究方向:自主无人机、灵巧操作、具身智能、世界模型。课题组 经费充足、算力丰富,支持博士/硕士参加 国际顶会 及 海外访学交流(合作院校涵盖 ETH Zürich、UZH、KTH、Oxford、HKU、HKUST、PolyU、NUS、NTU 等)。有意者请邮箱联系。
My research focuses on Autonomous Aerial Robots, Manipulation, Dexterous Manipulation, Swarm Intelligence, Reinforcement Learning, and Embodied AI — enabling robots to perceive, plan, and operate safely in complex real-world environments.
Publications
Academic Service
Our paper LAFR has been accepted by Robotics: Science and Systems (RSS).
Our IJRR paper "Memory-efficient boundary map for large-scale occupancy grid mapping" has been selected as an IJRR Seasonal Best Paper Finalist, among only three finalists.
Our paper "FAST-LIVO2: Fast, direct LiDAR-inertial-visual odometry" has been selected as a TRO 2026 Best Paper.
Our paper "Memory-efficient boundary map for large-scale occupancy grid mapping" has been accepted by The International Journal of Robotics Research (IJRR).
I am honored to have been elected as an Associate Editor for IEEE Robotics and Automation Letters (RA-L) and the IEEE International Conference on Robotics and Automation (ICRA) 2026.
Our new paper, "A Survey on LiDAR-based Autonomous Aerial Vehicles," is now published in IEEE/ASME Transactions on Mechatronics.
Thrilled to join the Robotics and Perception Group under Prof. Davide Scaramuzza!
I was selected as a participant of RSS Pioneer Workshop 2025.
(2026). Learning Agile Quadrotor Flight in the Real World. RSS.
(2025). Safety-assured High-speed Navigation for MAVs. Science Robotics.
(2025). Autonomous Tail-Sitter Flights in Unknown Environments. T-RO.
(2024). Fast-livo2: Fast, direct lidar-inertial-visual odometry. T-RO.