Maximilian Durner

According to our database, Maximilian Durner authored at least 25 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Density-based Feasibility Learning with Normalizing Flows for Introspective Robotic Assembly.

Jianxiang Feng, Matan Atad, Ismael Rodríguez, Maximilian Durner, Stephan Günnemann, Rudolph Triebel

CoRR, 2023

6D Object Pose Estimation from Approximate 3D Models for Orbital Robotics.

Maximilian Ulmer, Maximilian Durner, Martin Sundermeyer, Manuel Stoiber, Rudolph Triebel

IROS, 2023

Efficient and Feasible Robotic Assembly Sequence Planning via Graph Representation Learning.

Matan Atad, Jianxiang Feng, Ismael Rodríguez, Maximilian Durner, Rudolph Triebel

IROS, 2023

2022

Bayesian Active Learning for Sim-to-Real Robotic Perception.

Jianxiang Feng, Jongseok Lee, Maximilian Durner, Rudolph Triebel

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

2021

Bridging the Last Mile in Sim-to-Real Robot Perception via Bayesian Active Learning.

Jianxiang Feng, Jongseok Lee, Maximilian Durner, Rudolph Triebel

CoRR, 2021

A Photorealistic Terrain Simulation Pipeline for Unstructured Outdoor Environments.

Marcus Gerhard Müller, Maximilian Durner, Abel Gawel, Wolfgang Stürzl, Rudolph Triebel, Roland Siegwart

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Unknown Object Segmentation from Stereo Images.

Maximilian Durner, Wout Boerdijk, Martin Sundermeyer, Werner Friedl, Zoltán-Csaba Márton, Rudolph Triebel

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

"What's This?" - Learning to Segment Unknown Objects from Manipulation Sequences.

Wout Boerdijk, Martin Sundermeyer, Maximilian Durner, Rudolph Triebel

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Searching for Objects in Human Living Environments based on Relevant Inferred and Mined Priors.

Alejandra C. Hernández, Maximilian Durner, Clara Gómez, Iris Lynne Grixa, Oskars Teikmanis, Zoltan-Csaba Marton, Ramón Barber

Proceedings of the 10th European Conference on Mobile Robots, 2021

2020

The ARCHES Space-Analogue Demonstration Mission: Towards Heterogeneous Teams of Autonomous Robots for Collaborative Scientific Sampling in Planetary Exploration.

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

IEEE Robotics Autom. Lett., 2020

Pattern Recognition for Knowledge Transfer in Robotic Assembly Sequence Planning.

Ismael Rodríguez, Korbinian Nottensteiner, Daniel Leidner, Maximilian Durner, Freek Stulp, Alin Albu-Schäffer

IEEE Robotics Autom. Lett., 2020

Augmented Autoencoders: Implicit 3D Orientation Learning for 6D Object Detection.

Martin Sundermeyer, Zoltan-Csaba Marton, Maximilian Durner, Rudolph Triebel

Int. J. Comput. Vis., 2020

Multi-Path Learning for Object Pose Estimation Across Domains.

Martin Sundermeyer, Maximilian Durner, En Yen Puang, Zoltan-Csaba Marton, Narunas Vaskevicius, Kai Oliver Arras, Rudolph Triebel

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Self-Supervised Object-in-Gripper Segmentation from Robotic Motions.

Wout Boerdijk, Martin Sundermeyer, Maximilian Durner, Rudolph Triebel

Proceedings of the 4th Conference on Robot Learning, 2020

2019

Multi-path Learning for Object Pose Estimation Across Domains.

Martin Sundermeyer, Maximilian Durner, En Yen Puang, Zoltan-Csaba Marton, Rudolph Triebel

CoRR, 2019

Introspective Robot Perception Using Smoothed Predictions from Bayesian Neural Networks.

Jianxiang Feng, Maximilian Durner, Zoltán-Csaba Márton, Ferenc Bálint-Benczédi, Rudolph Triebel

Proceedings of the Robotics Research, 2019

Visual Repetition Sampling for Robot Manipulation Planning.

En Yen Puang, Peter Lehner, Zoltan-Csaba Marton, Maximilian Durner, Rudolph Triebel, Alin Albu-Schäffer

Proceedings of the International Conference on Robotics and Automation, 2019

2018

Simultaneous Calibration and Mapping.

Christian Nissler, Maximilian Durner, Zoltán-Csaba Márton, Rudolph Triebel

Proceedings of the 2018 International Symposium on Experimental Robotics, 2018

6DoF Pose Estimation for Industrial Manipulation Based on Synthetic Data.

Manuel Brucker, Maximilian Durner, Zoltán-Csaba Márton, Ferenc Bálint-Benczédi, Martin Sundermeyer, Rudolph Triebel

Proceedings of the 2018 International Symposium on Experimental Robotics, 2018

Semantic Labeling of Indoor Environments from 3D RGB Maps.

Manuel Brucker, Maximilian Durner, Rares Ambrus, Zoltan Csaba Marton, Axel Wendt, Patric Jensfelt, Kai Oliver Arras, Rudolph Triebel

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Implicit 3D Orientation Learning for 6D Object Detection from RGB Images.

Martin Sundermeyer, Zoltan-Csaba Marton, Maximilian Durner, Manuel Brucker, Rudolph Triebel

Proceedings of the Computer Vision - ECCV 2018, 2018

2017

Selecting CNN features for online learning of 3D objects.

Monika Ullrich, Haider Ali, Maximilian Durner, Zoltan-Csaba Marton, Rudolph Triebel

Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

Experience-based optimization of robotic perception.

Maximilian Durner, Simon Kriegel, Sebastian Riedel, Manuel Brucker, Zoltan-Csaba Marton, Ferenc Balint-Benczedi, Rudolph Triebel

Proceedings of the 18th International Conference on Advanced Robotics, 2017

Storing and retrieving perceptual episodic memories for long-term manipulation tasks.

Ferenc Balint-Benczedi, Zoltan-Csaba Marton, Maximilian Durner, Michael Beetz

Proceedings of the 18th International Conference on Advanced Robotics, 2017

2016

Active classifier selection for RGB-D object categorization using a Markov random field ensemble method.

Maximilian Durner, Zoltan Csaba Marton, Ulrich Hillenbrand, Haider Ali, Martin Kleinsteuber

Proceedings of the Ninth International Conference on Machine Vision, 2016