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ORCIDMaximilian Durner
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2020 – today
- 2024
[c20]Elle Miller, Maximilian Durner
, Matthias Humt, Gabriel Quere, Wout Boerdijk, Ashok M. Sundaram, Freek Stulp, Jörn Vogel:
Unknown Object Grasping for Assistive Robotics. ICRA 2024: 18157-18163- [i12]Elle Miller, Maximilian Durner, Matthias Humt, Gabriel Quere, Wout Boerdijk, Ashok M. Sundaram, Freek Stulp, Jörn Vogel:
Unknown Object Grasping for Assistive Robotics. CoRR abs/2404.15001 (2024) - [i11]Maximilian Ulmer, Leonard Klüpfel, Maximilian Durner, Rudolph Triebel:
How Important are Data Augmentations to Close the Domain Gap for Object Detection in Orbit? CoRR abs/2410.15766 (2024) - 2023
- [c19]Matan Atad, Jianxiang Feng, Ismael Rodríguez, Maximilian Durner, Rudolph Triebel:
Efficient and Feasible Robotic Assembly Sequence Planning via Graph Representation Learning. IROS 2023: 8262-8269 - [c18]Maximilian Ulmer, Maximilian Durner, Martin Sundermeyer, Manuel Stoiber, Rudolph Triebel:
6D Object Pose Estimation from Approximate 3D Models for Orbital Robotics. IROS 2023: 10749-10756 - [i10]Matan Atad, Jianxiang Feng, Ismael Rodríguez, Maximilian Durner, Rudolph Triebel:
Efficient and Feasible Robotic Assembly Sequence Planning via Graph Representation Learning. CoRR abs/2303.10135 (2023) - [i9]Maximilian Ulmer, Maximilian Durner, Martin Sundermeyer, Manuel Stoiber, Rudolph Triebel:
6D Object Pose Estimation from Approximate 3D Models for Orbital Robotics. CoRR abs/2303.13241 (2023) - [i8]Jianxiang Feng, Matan Atad, Ismael Rodríguez, Maximilian Durner, Stephan Günnemann, Rudolph Triebel:
Density-based Feasibility Learning with Normalizing Flows for Introspective Robotic Assembly. CoRR abs/2307.01317 (2023) - 2022
- [c17]Jianxiang Feng, Jongseok Lee, Maximilian Durner, Rudolph Triebel:
Bayesian Active Learning for Sim-to-Real Robotic Perception. IROS 2022: 10820-10827 - 2021
- [c16]Alejandra C. Hernández, Maximilian Durner, Clara Gómez, Iris Lynne Grixa, Oskars Teikmanis, Zoltan-Csaba Marton, Ramón Barber:
Searching for Objects in Human Living Environments based on Relevant Inferred and Mined Priors. ECMR 2021: 1-7 - [c15]Wout Boerdijk, Martin Sundermeyer, Maximilian Durner, Rudolph Triebel:
"What's This?" - Learning to Segment Unknown Objects from Manipulation Sequences. ICRA 2021: 10160-10167 - [c14]Maximilian Durner, Wout Boerdijk, Martin Sundermeyer, Werner Friedl, Zoltán-Csaba Márton, Rudolph Triebel:
Unknown Object Segmentation from Stereo Images. IROS 2021: 4823-4830 - [c13]Marcus Gerhard Müller, Maximilian Durner, Abel Gawel, Wolfgang Stürzl, Rudolph Triebel, Roland Siegwart:
A Photorealistic Terrain Simulation Pipeline for Unstructured Outdoor Environments. IROS 2021: 9765-9772 - [i7]Maximilian Durner, Wout Boerdijk, Martin Sundermeyer, Werner Friedl, Zoltan-Csaba Marton, Rudolph Triebel:
Unknown Object Segmentation from Stereo Images. CoRR abs/2103.06796 (2021) - [i6]Jianxiang Feng, Jongseok Lee, Maximilian Durner, Rudolph Triebel:
Bridging the Last Mile in Sim-to-Real Robot Perception via Bayesian Active Learning. CoRR abs/2109.11547 (2021) - [i5]Jianxiang Feng, Maximilian Durner, Zoltan-Csaba Marton, Ferenc Balint-Benczedi, Rudolph Triebel:
Introspective Robot Perception using Smoothed Predictions from Bayesian Neural Networks. CoRR abs/2109.12869 (2021) - 2020
- [j3]Martin Sundermeyer, Zoltan-Csaba Marton, Maximilian Durner, Rudolph Triebel:
Augmented Autoencoders: Implicit 3D Orientation Learning for 6D Object Detection. Int. J. Comput. Vis. 128(3): 714-729 (2020) - [j2]Ismael Rodríguez, Korbinian Nottensteiner, Daniel Leidner, Maximilian Durner, Freek Stulp, Alin Albu-Schäffer:
Pattern Recognition for Knowledge Transfer in Robotic Assembly Sequence Planning. IEEE Robotics Autom. Lett. 5(2): 3666-3673 (2020) - [j1]Martin J. Schuster, Marcus Gerhard Müller, Sebastian G. Brunner, Hannah Lehner, Peter Lehner, Ryo Sakagami, Andreas Dömel, Lukas Meyer, Bernhard Vodermayer, Riccardo Giubilato, Mallikarjuna Vayugundla, Josef Reill, Florian Steidle, Ingo von Bargen, Kristin Bussmann, Rico Belder, Philipp Lutz, Wolfgang Stürzl, Michal Smísek, Moritz Maier, Samantha Stoneman, Andre Fonseca Prince, Bernhard Rebele, Maximilian Durner, Emanuel Staudinger, Siwei Zhang, Robert Pöhlmann, Esther Bischoff, Christian Braun, Susanne Schröder, Enrico Dietz, Sven Frohmann, Anko Börner, Heinz-Wilhelm Hübers, Bernard Foing, Rudolph Triebel, Alin Olimpiu Albu-Schäffer, Armin Wedler:
The ARCHES Space-Analogue Demonstration Mission: Towards Heterogeneous Teams of Autonomous Robots for Collaborative Scientific Sampling in Planetary Exploration. IEEE Robotics Autom. Lett. 5(4): 5315-5322 (2020) - [c12]Wout Boerdijk, Martin Sundermeyer, Maximilian Durner, Rudolph Triebel:
Self-Supervised Object-in-Gripper Segmentation from Robotic Motions. CoRL 2020: 1231-1245 - [c11]Martin Sundermeyer, Maximilian Durner, En Yen Puang, Zoltan-Csaba Marton, Narunas Vaskevicius, Kai O. Arras, Rudolph Triebel:
Multi-Path Learning for Object Pose Estimation Across Domains. CVPR 2020: 13913-13922 - [i4]Wout Boerdijk, Martin Sundermeyer, Maximilian Durner, Rudolph Triebel:
Self-Supervised Object-in-Gripper Segmentation from Robotic Motions. CoRR abs/2002.04487 (2020) - [i3]Wout Boerdijk, Martin Sundermeyer, Maximilian Durner, Rudolph Triebel:
"What's This?" - Learning to Segment Unknown Objects from Manipulation Sequences. CoRR abs/2011.03279 (2020)
2010 – 2019
- 2019
- [c10]En Yen Puang, Peter Lehner, Zoltan-Csaba Marton, Maximilian Durner, Rudolph Triebel, Alin Albu-Schäffer:
Visual Repetition Sampling for Robot Manipulation Planning. ICRA 2019: 9236-9242 - [c9]Jianxiang Feng, Maximilian Durner, Zoltán-Csaba Márton, Ferenc Bálint-Benczédi, Rudolph Triebel:
Introspective Robot Perception Using Smoothed Predictions from Bayesian Neural Networks. ISRR 2019: 660-675 - [i2]Martin Sundermeyer, Zoltan-Csaba Marton, Maximilian Durner, Manuel Brucker, Rudolph Triebel:
Implicit 3D Orientation Learning for 6D Object Detection from RGB Images. CoRR abs/1902.01275 (2019) - [i1]Martin Sundermeyer, Maximilian Durner, En Yen Puang, Zoltan-Csaba Marton, Rudolph Triebel:
Multi-path Learning for Object Pose Estimation Across Domains. CoRR abs/1908.00151 (2019) - 2018
- [c8]Martin Sundermeyer, Zoltan-Csaba Marton, Maximilian Durner, Manuel Brucker, Rudolph Triebel:
Implicit 3D Orientation Learning for 6D Object Detection from RGB Images. ECCV (6) 2018: 712-729 - [c7]Manuel Brucker, Maximilian Durner, Rares Ambrus, Zoltan Csaba Marton, Axel Wendt, Patric Jensfelt, Kai Oliver Arras, Rudolph Triebel:
Semantic Labeling of Indoor Environments from 3D RGB Maps. ICRA 2018: 1871-1878 - [c6]Manuel Brucker, Maximilian Durner, Zoltán-Csaba Márton, Ferenc Bálint-Benczédi, Martin Sundermeyer, Rudolph Triebel:
6DoF Pose Estimation for Industrial Manipulation Based on Synthetic Data. ISER 2018: 675-684 - [c5]Christian Nissler, Maximilian Durner, Zoltán-Csaba Márton, Rudolph Triebel:
Simultaneous Calibration and Mapping. ISER 2018: 791-800 - 2017
- [c4]Ferenc Balint-Benczedi, Zoltan-Csaba Marton, Maximilian Durner, Michael Beetz:
Storing and retrieving perceptual episodic memories for long-term manipulation tasks. ICAR 2017: 25-31 - [c3]Maximilian Durner, Simon Kriegel, Sebastian Riedel, Manuel Brucker, Zoltan-Csaba Marton, Ferenc Balint-Benczedi, Rudolph Triebel:
Experience-based optimization of robotic perception. ICAR 2017: 32-39 - [c2]Monika Ullrich, Haider Ali, Maximilian Durner, Zoltan-Csaba Marton, Rudolph Triebel:
Selecting CNN features for online learning of 3D objects. IROS 2017: 5086-5091 - 2016
- [c1]Maximilian Durner, Zoltan Csaba Marton, Ulrich Hillenbrand, Haider Ali, Martin Kleinsteuber:
Active classifier selection for RGB-D object categorization using a Markov random field ensemble method. ICMV 2016: 103411I
Coauthor Index
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