Maximilian Durner

Orcid: 0000-0001-8885-5334

According to our database1, Maximilian Durner authored at least 26 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Unknown Object Grasping for Assistive Robotics.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

2023
Density-based Feasibility Learning with Normalizing Flows for Introspective Robotic Assembly.
CoRR, 2023

6D Object Pose Estimation from Approximate 3D Models for Orbital Robotics.
IROS, 2023

Efficient and Feasible Robotic Assembly Sequence Planning via Graph Representation Learning.
IROS, 2023

2022
Bayesian Active Learning for Sim-to-Real Robotic Perception.
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.
CoRR, 2021

A Photorealistic Terrain Simulation Pipeline for Unstructured Outdoor Environments.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Unknown Object Segmentation from Stereo Images.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

"What's This?" - Learning to Segment Unknown Objects from Manipulation Sequences.
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.
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.
IEEE Robotics Autom. Lett., 2020

Pattern Recognition for Knowledge Transfer in Robotic Assembly Sequence Planning.
IEEE Robotics Autom. Lett., 2020

Augmented Autoencoders: Implicit 3D Orientation Learning for 6D Object Detection.
Int. J. Comput. Vis., 2020

Multi-Path Learning for Object Pose Estimation Across Domains.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Self-Supervised Object-in-Gripper Segmentation from Robotic Motions.
Proceedings of the 4th Conference on Robot Learning, 2020

2019
Multi-path Learning for Object Pose Estimation Across Domains.
CoRR, 2019

Introspective Robot Perception Using Smoothed Predictions from Bayesian Neural Networks.
Proceedings of the Robotics Research, 2019

Visual Repetition Sampling for Robot Manipulation Planning.
Proceedings of the International Conference on Robotics and Automation, 2019

2018
Simultaneous Calibration and Mapping.
Proceedings of the 2018 International Symposium on Experimental Robotics, 2018

6DoF Pose Estimation for Industrial Manipulation Based on Synthetic Data.
Proceedings of the 2018 International Symposium on Experimental Robotics, 2018

Semantic Labeling of Indoor Environments from 3D RGB Maps.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Implicit 3D Orientation Learning for 6D Object Detection from RGB Images.
Proceedings of the Computer Vision - ECCV 2018, 2018

2017
Selecting CNN features for online learning of 3D objects.
Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

Experience-based optimization of robotic perception.
Proceedings of the 18th International Conference on Advanced Robotics, 2017

Storing and retrieving perceptual episodic memories for long-term manipulation tasks.
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.
Proceedings of the Ninth International Conference on Machine Vision, 2016


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