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20192022
most citedValue Iteration Networks on Multiple Levels of Abstraction

20 citations · 20 across the 3 of their papers we have counts for

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5 papers · 1 filter

cs.RO2022

Two-step Planning of Dynamic UAV Trajectories using Iterative -Spaces

Sebastian Schräder, Daniel Schleich, Sven Behnke

UAV trajectory planning is often done in a two-step approach, where a low-dimensional path is refined to a dynamic trajectory. The resulting trajectories are only locally optimal,…

cs.RO2022

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…

cs.RO2021

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…

cs.RO2020

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…

cs.RO201920 cited

Value Iteration Networks on Multiple Levels of Abstraction

Daniel Schleich, Tobias Klamt, Sven Behnke

Learning-based methods are promising to plan robot motion without performing extensive search, which is needed by many non-learning approaches. Recently, Value Iteration Networks (…