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Maximilian 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 - [i11]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) - 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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last updated on 2024-08-20 20:27 CEST by the dblp team
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