Planning high-speed trajectories for UAVs in unknown environments requires algorithmic
techniques that enable fast reaction times to guarantee safety as more information about the …

High-speed trajectory planning through unknown environments requires algorithmic
techniques that enable fast reaction times while maintaining safety as new information about …

We propose real-time path planning schemes employing limited information for fully
autonomous unmanned air vehicles (UAVs) in a hostile environment. Two main algorithms …

We propose a planning method to enable fast autonomous flight in cluttered environments.
Typically, autonomous navigation through a complex environment requires a continuous …

This thesis presents a novel framework for safe online trajectory planning of unmanned
vehicles through partially unknown environments. The basic planning problem is formulated …

Mobile robots often operate in domains that are only incompletely known, for example, when
they have to move from given start coordinates to given goal coordinates in unknown terrain …

The Benchmark Autonomous Robot Navigation (BARN) Challenge took place at the 2022
IEEE International Conference on Robotics and Automation (ICRA), in Philadelphia, PA …

There has been considerable recent work in motion planning for UAVs to enable
aggressive, highly dynamic flight in known environments with motion capture systems …

This article presents MADER, a 3-D decentralized and asynchronous trajectory planner for
UAVs that generates collision-free trajectories in environments with static obstacles …

Unmanned aerial vehicles (UAVs) have recently attracted the attention of researchers due to
their numerous potential civilian applications. However, current robot navigation …