146 citations · 284 across the 7 of their papers we have counts for
9 papers
Target Chase, Wall Building, and Fire Fighting: Autonomous UAVs of Team NimbRo at MBZIRC 2020
Marius Beul, Max Schwarz, Jan Quenzel +11
The Mohamed Bin Zayed International Robotics Challenge (MBZIRC) 2020 posed diverse challenges for unmanned aerial vehicles (UAVs). We present our four tailored UAVs, specifically d…
Autonomous Fire Fighting with a UAV-UGV Team at MBZIRC 2020
Jan Quenzel, Malte Splietker, Dmytro Pavlichenko +6
Every day, burning buildings threaten the lives of occupants and first responders trying to save them. Quick action is of essence, but some areas might not be accessible or too dan…
Autonomous Flight in Unknown GNSS-denied Environments for Disaster Examination
Daniel Schleich, Marius Beul, Jan Quenzel +1
Micro aerial vehicles (MAVs) have high potential for information gathering tasks to support situation awareness in search and rescue scenarios. Manually controlling MAVs in such sc…
Trajectory Generation with Fast Lidar-based 3D Collision Avoidance for Agile MAVs
Marius Beul, Sven Behnke
Micro aerial vehicles (MAVs), are frequently used for exploration, examination, and surveillance during search and rescue missions. Manually piloting these robots under stressful c…
Visually Guided Balloon Popping with an Autonomous MAV at MBZIRC 2020
Marius Beul, Simon Bultmann, Andre Rochow +4
Visually guided control of micro aerial vehicles (MAV) demands for robust real-time perception, fast trajectory generation, and a capable flight platform. We present a fully autono…
Fast Time-optimal Avoidance of Moving Obstacles for High-Speed MAV Flight
Marius Beul, Sven Behnke
In this work, we propose a method to efficiently compute smooth, time-optimal trajectories for micro aerial vehicles (MAVs) evading a moving obstacle. Our approach first computes a…
Team NimbRo at MBZIRC 2017: Fast Landing on a Moving Target and Treasure Hunting with a Team of MAVs
Marius Beul, Matthias Nieuwenhuisen, Jan Quenzel +5
The Mohamed Bin Zayed International Robotics Challenge (MBZIRC) 2017 has defined ambitious new benchmarks to advance the state-of-the-art in autonomous operation of ground-based an…
NimbRo Rescue: Solving Disaster-Response Tasks through Mobile Manipulation Robot Momaro
Max Schwarz, Tobias Rodehutskors, David Droeschel +10
Robots that solve complex tasks in environments too dangerous for humans to enter are desperately needed, e.g. for search and rescue applications. We describe our mobile manipulati…
Fast Autonomous Flight in Warehouses for Inventory Applications
Marius Beul, David Droeschel, Matthias Nieuwenhuisen +3
The past years have shown a remarkable growth in use-cases for micro aerial vehicles (MAVs). Conceivable indoor applications require highly robust environment perception, fast reac…