109 citations · 111 across the 5 of their papers we have counts for
5 papers
Curriculum Reinforcement Learning for Quadrotor Racing with Random Obstacles
Fangyu Sun, Fanxing Li, Yu Hu +4
Autonomous drone racing has attracted increasing interest as a research topic for exploring the limits of agile flight. However, existing studies primarily focus on obstacle-free r…
Generating 6-D Trajectories for Omnidirectional Multirotor Aerial Vehicles in Cluttered Environments
Peiyan Liu, Yuanzhe Shen, Yueqian Liu +3
As fully-actuated systems, omnidirectional multirotor aerial vehicles (OMAVs) have more flexible maneuverability and advantages in aggressive flight in cluttered environments than…
RGB-D Inertial Odometry for a Resource-Restricted Robot in Dynamic Environments
Jianheng Liu, Xuanfu Li, Yueqian Liu +1
Current simultaneous localization and mapping (SLAM) algorithms perform well in static environments but easily fail in dynamic environments. Recent works introduce deep learning-ba…
Adaptive Nonlinear MPC for Trajectory Tracking of An Overactuated Tiltrotor Hexacopter
Yueqian Liu, Fengyu Quan, Haoyao Chen
Omnidirectional micro aerial vehicles (OMAVs) are more capable of doing environmentally interactive tasks due to their ability to exert full wrenches while maintaining stable poses…
Collision-Free 6-DoF Trajectory Generation for Omnidirectional Multi-rotor Aerial Vehicle
Peiyan Liu, Fengyu Quan, Yueqian Liu +1
As a kind of fully actuated system, omnidirectional multirotor aerial vehicles (OMAVs) has more flexible maneuverability than traditional underactuated multirotor aircraft, and it…