Publications
(2024).
Safety-assured High-speed Navigation for MAVs. Accepted to
(2024).
Swarm-LIO2: Decentralized, Efficient LiDAR-inertial
Odometry for UAV Swarms.
Submitted to IEEE T-RO, Under review.
Yixi Cai, Fangcheng Zhu,
Siqi Liang,
Fu Zhang
(2023).
ROG-Map: An Efficient Robocentric Occupancy Grid Map for
Large-scene and High-resolution LiDAR-based Motion
Planning
Accepted to IROS2024.
(2022).
Decentralized Swarm Trajectory Generation for LiDAR-based
Aerial Tracking in Cluttered Environments. Accepted to IROS2023.
Best Overall and Best Student Paper Finalist
(2023).
Online Whole-Body Motion Planning for Quadrotor using
Multi-Resolution Search. Accepted to ICRA2023.
Outstanding Navigation Paper Finalist
(2023).
Swarm-LIO: Decentralized Swarm LiDAR-inertial Odometry. Accepted to ICRA2023.
(2022).
Robust Real-time LiDAR-inertial Initialization. Accepted to IROS2022.
(2023).
Bubble Planner: Planning High-speed Smooth Quadrotor
Trajectories using Receding Corridors. Accepted to IROS2022.