activity
20182022
most citedTeam NimbRo at MBZIRC 2017: Fast Landing on a Moving Target and Treasure Hunting with a Team of MAVs

35 citations · 50 across the 5 of their papers we have counts for

collaborators
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17 papers · 1 filter

cs.RO2022

Real-Robot Deep Reinforcement Learning: Improving Trajectory Tracking of Flexible-Joint Manipulator with Reference Correction

Dmytro Pavlichenko, Sven Behnke

Flexible-joint manipulators are governed by complex nonlinear dynamics, defining a challenging control problem. In this work, we propose an approach to learn an outer-loop joint tr…

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

NimbRo-OP2X: Affordable Adult-sized 3D-printed Open-Source Humanoid Robot for Research

Grzegorz Ficht, Hafez Farazi, Diego Rodriguez +4

For several years, high development and production costs of humanoid robots restricted researchers interested in working in the field. To overcome this problem, several research gr…

cs.RO201915 cited

RoboCup 2019 AdultSize Winner NimbRo: Deep Learning Perception, In-Walk Kick, Push Recovery, and Team Play Capabilities

Diego Rodriguez, Hafez Farazi, Grzegorz Ficht +7

Individual and team capabilities are challenged every year by rule changes and the increasing performance of the soccer teams at RoboCup Humanoid League. For RoboCup 2019 in the Ad…

cs.RO2019

Autonomous Bimanual Functional Regrasping of Novel Object Class Instances

Dmytro Pavlichenko, Diego Rodriguez, Christian Lenz +2

In human-made scenarios, robots need to be able to fully operate objects in their surroundings, i.e., objects are required to be functionally grasped rather than only picked. This…