Staff

DLR German Aerospace Center
Institute of Robotics and Mechatronics
Perception and Cognition
Oberpfaffenhofen
Muenchener Str. 20
82234 Wessling

Research Interests

Prof. Triebel's main research area are machine learning algorithms applied to robot perception tasks. These mainly include object segmentation and classification, semantic mapping, navigation, and 3D environment modelling. In particular, he focusses on persistent and autonomous learning techniques, which will make learning more useful for concrete applications in robotics by providing more independence on a human supervisor and by featuring a high level of adaptivity and the ability to efficiently update the learned models online. Furthermore, Dr. Triebel investigates algorithms for robot perception that provide reliable confidence estimates and an awareness of the internal state of the system ("introspection"). This leads to more explainable and ultimately safer autononous robot systems.

Short CV

Prof. Triebel received his PhD in 2007 from the University of Freiburg in Germany. The title of his PhD thesis is “Three-dimensional Perception for Mobile Robots”. From 2007 to 2011, he was a postdoctoral researcher at ETH Zurich, where he worked on machine learning algorithms for robot perception within several EU-funded projects. Then, from 2011 to 2013 he worked in the Mobile Robotics Group at the University of Oxford, where he developed unsupervised and online learning techniques for detection and classification applications in mobile robotics and autonomous driving. From 2013 to 2023, Rudolph worked as a lecturer at TU Munich, where he teached master level courses in the area of Machine Learning for Computer Vision. In 2015, he was appointed as leader of the Department of Perception and Cognition at the Robotics Institute of DLR, and in 2023 he was appointed as a university professor at Karlsruhe Institute of Technology (KIT) in "Intelligent Robot Perception".

Publications

• Maximilian Ulmer, Maximilian Durner, Martin Sundermeyer, Manuel Stoiber, Rudolph Triebel:
  6D Object Pose Estimation from Approximate 3D Models for Orbital Robotics
  In: 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2023. 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2023), 1. - 5.10.2023, Detroit, MI, USA, 2023. DOI 10.1109/IROS55552.2023.10341511, ISBN 978-166549190-7, ISSN 2153-0858. [elib]
• Florian Steidle, Simon Boche, Wolfgang Stürzl, Rudolph Triebel:
  A Temporal Perspective n-Point Problem with Model Uncertainties for Cooperative Pose Estimation in a Heterogeneous Robot Team
  In: 11th European Conference on Mobile Robots, ECMR 2023. European Conference on Mobile Robots 2023, 04-07 Sep 2023, Coimbra, Portugal, 2023. DOI 10.1109/ECMR59166.2023.10256287, ISBN 979-835030704-7, ISSN 2639-7919. [elib]
• Jakob Gawlikowski, Cedrique Rovile Njieutcheu Tassi, Mohsin Ali, Jongseok Lee, Matthias Humt et 9 al.:
  A survey of uncertainty in deep neural networks
  Artificial Intelligence Review, vol. 56. Springer Nature, 2023. DOI 10.1007/s10462-023-10562-9, ISSN 0269-2821. [elib]
• Jonas Grzesiak, Daniel Häfele, Christoph Kölbl, Frank Duschek, Bernhard Linseisen et 3 al.:
  Teleoperierte Erkundung von Krisen- und Gefahrensituationen durch multimodale Verknüpfung von Sensortechnologien
  Tage der Sicherheitsforschung, 14.-16.06.2023, Dortmund, 2023. [elib]
• Bernhard Linseisen, Christoph Kölbl, Jonas Grzesiak, Daniel Häfele, Frank Duschek et 3 al.:
  Teleoperierte Erkundung von Krisen- und Gefahrensituationen durch multimodale Verknüpfung von Sensortechnologien
  Tage der Sicherheitsforschung, 14 Jun 2023, Dortmund, 2023. [elib]
• Maximilian Durner, Wout Boerdijk, Yunis Fanger, Ryo Sakagami, David Lennart Risch et 2 al.:
  Autonomous Rock Instance Segmentation for Extra-Terrestrial Robotic Missions
  In: 2023 IEEE Aerospace Conference, AERO 2023. 2023 IEEE Aerospace Conference, 04-11 Mar 2023, Big Sky, USA, 2023. DOI 10.1109/AERO55745.2023.10115717, ISBN 978-166549032-0, ISSN 1095-323X. [elib]
• Lukas Meyer, Mallikarjuna Vayugundla, Patrick Kenny, Michal Smisek, Jens Biele et 7 al.:
  Testing for the MMX Rover Autonomous Navigation Experiment on Phobos
  In: 2023 IEEE Aerospace Conference, AERO 2023. IEEE Aerospace Conference, 4-11 Mar 2023, Big Sky, Montana, US, 2023. DOI 10.1109/AERO55745.2023.10115919, ISBN 978-166549032-0, ISSN 1095-323X. [elib]
• Marcus Gerhard Müller, Maximilian Durner, Wout Boerdijk, Hermann Blum, Abel Gawel et 3 al.:
  Uncertainty Estimation for Planetary Robotic Terrain Segmentation
  In: 2023 IEEE Aerospace Conference, AERO 2023. 2023 IEEE Aerospace Conference, 04-11 Mar 2023, Big Sky, Montana, US, 2023. DOI 10.1109/AERO55745.2023.10115611, ISBN 978-166549032-0, ISSN 1095-323X. [elib]
• Marco Sewtz, Werner Friedl, Adrian Simon Bauer, Anne Köpken, Florian Samuel Lay et 4 al.:
  Audio Perception in Robotic Assistance for Human Space Exploration: A Feasibility Study
  In: 2023 IEEE Aerospace Conference, AERO 2023. 44th IEEE Aerospace Conference, 04-11 Mar 2023, Big Sky, Montana, USA, 2023. DOI 10.1109/AERO55745.2023.10116018, ISBN 978-166549032-0, ISSN 1095-323X. [elib]
• Bernhard Linseisen, Christoph Kölbl, Jonas Grzesiak, Daniel Häfele, Frank Duschek et 3 al.:
  Multisensor Roboter für die Erkundung in Krisenszenarien (MuSeRo)
  69. Jahresfachtagung der Vereinigung zur Förderung des Deutschen Brandschutzes, 15-17 Mai 2023, Münster, 2023. [elib]
• Jongseok Lee, WFJ Olsman, Rudolph Triebel:
  Learning Fluid Flow Visualizations From In-Flight Images With Tufts
  IEEE Robotics and Automation Letters, vol. 8 (6). IEEE - Institute of Electrical and Electronics Engineers, 2023. DOI 10.1109/LRA.2023.3270746, ISSN 2377-3766. [elib]
• Maximilian Denninger, Rudolph Triebel:
  3D Semantic Scene Reconstruction from a Single Viewport
  In: Proceedings of the 3rd International Conference on Image Processing and Vision Engineering (IMPROVE 2023), vol. 1. 3rd International Conference on Image Processing and Vision Engineering, 21-23 Apr 2023, Prague, Czech Republic, 2023. DOI 10.5220/0011747700003497, ISBN 978-989-758-642-2, ISSN 2795-4943. [elib]
• Alejandro Fontan, Riccardo Giubilato, Laura Oliva, Javier Civera, Rudolph Triebel:
  SID-SLAM: Semi-Direct Information-Driven RGB-D SLAM
  IEEE Robotics and Automation Letters. IEEE - Institute of Electrical and Electronics Engineers, 2023. DOI 10.1109/LRA.2023.3251722, ISSN 2377-3766. [elib]
• Jongseok Lee, Ribin Radhakrishna Balachandran, Konstantin Kondak, Andre Coelho, Marco De Stefano et 4 al.:
  Virtual Reality via Object Pose Estimation and Active Learning: Realizing Telepresence Robots with Aerial Manipulation Capabilities
  Field Robotics, vol. 3. Field Robotics Publication Society, 2023. DOI 10.55417/fr.2023010, ISSN 2771-3989. [elib]
• Cedrique Rovile Njieutcheu Tassi, Anko Boerner, Rudolph Triebel:
  Regularization Strength Impact on Neural Network Ensembles
  In: 5th International Conference on Algorithms, Computing and Artificial Intelligence, ACAI 2022, ACM International Conference Proceeding Series. 2022 5th International Conference on Algorithms, Computing and Artificial Intelligence, 23-25 Dec 2022, Sanya, China, 2023. DOI 10.1145/3579654.3579661, ISBN 978-145039834-3. [elib]
• Maximilian Denninger, Dominik Winkelbauer, Martin Sundermeyer, Wout Boerdijk, Markus Wendelin Knauer et 3 al.:
  BlenderProc2: A Procedural Pipeline for Photorealistic Rendering
  Journal of Open Source Software, vol. 8 (82). Journal of Open Source Software, 2023. DOI 10.21105/joss.04901, ISSN 2475-9066. [elib]
• Marco Sewtz, Yunis Fanger, Xiaozhou Luo, Tim Bodenmüller, Rudolph Triebel:
  IndoorMCD: A Benchmark for Low-Cost Multi-Camera SLAM in Indoor Environments
  IEEE Robotics and Automation Letters, IEEE, vol. 8 (3). IEEE - Institute of Electrical and Electronics Engineers, 2023. DOI 10.1109/LRA.2023.3236840, ISSN 2377-3766. [elib]
• Matan Atad, Jianxiang Feng, Ismael Valentin Rodriguez Brena, Maximilian Durner, Rudolph Triebel:
  Efficient and Feasible Robotic Assembly Sequence Planning via Graph Representation Learning
  In: 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2023. 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2023, 2023, Detroit, IL, USA, 2023. DOI 10.1109/IROS55552.2023.10342352, ISBN 978-166549190-7, ISSN 2153-0858. [elib]
• Wout Boerdijk, Marcus Gerhard Müller, Maximilian Durner, Rudolph Triebel:
  ReSyRIS: A Real-Synthetic Rock Instance Segmentation Dataset for Training and Benchmarking
  In: 2023 IEEE Aerospace Conference, AERO 2023. 2023 IEEE Aerospace Conference, 04-11 Mar 2023, Big Sky, USA, 2023. DOI 10.1109/AERO55745.2023.10115802, ISBN 978-166549032-0, ISSN 1095-323X. [elib]
• Jianxiang Feng, Matan Atad, Ismael Valentin Rodriguez Brena, Maximilian Durner, Rudolph Triebel:
  Density-based Feasibility Learning with Normalizing Flows for Introspective Robotic Assembly
  In: 18th Robotics: Science and System 2023 Workshops. Robotics and AI: The Future of Industrial Assembly Tasks, 10-14 Jul 2023, Daegu, Republic of Korea, 2023. [elib]
• Dominik Schnaus, Jongseok Lee, Daniel Cremers, Rudolph Triebel:
  Learning Expressive Priors for Generalization and Uncertainty Estimation in Neural Networks
  In: 40th International Conference on Machine Learning, ICML 2023. Fortieth International Conference on Machine Learning, 23-29 Jul 2023, Hawaii, 2023. ISSN 2640-3498. [elib]
• Manuel Stoiber, Mariam Elsayed, Anne Elisabeth Reichert, Florian Steidle, Dongheui Lee et 1 al.:
  Fusing Visual Appearance and Geometry for Multi-modality 6DoF Object Tracking
  In: 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2023. IEEE/RSJ International Conference on Intelligent Robots (IROS) 2023, Detroit, IL, USA, 2023. DOI 10.1109/IROS55552.2023.10341961, ISBN 978-166549190-7, ISSN 2153-0858. [elib]
• Cedrique Rovile Njieutcheu Tassi, Anko Börner, Rudolph Triebel:
  Monte Carlo averaging for uncertainty estimation in neural networks
  Journal of Physics: Conference Series, vol. 2506 (1). Institute of Physics (IOP) Publishing, 2023. DOI 10.1088/1742-6596/2506/1/012004, ISSN 1742-6588. [elib]
• Dominik Winkelbauer, Berthold Bäuml, Rudolph Triebel:
  Learning-Based Real-Time Torque Prediction for Grasping Unknown Objects with a Multi-Fingered Hand
  In: 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2023. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2023), 1-5 Oct 2023, Detroit, USA, 2023. DOI 10.1109/IROS55552.2023.10341970, ISBN 978-166549190-7, ISSN 2153-0858. [elib]
• Laura Oliva Maza, Florian Steidle, Julian Klodmann, Klaus Strobl, Rudolph Triebel:
  An ORB-SLAM3-based Approach for Surgical Navigation in Ureteroscopy
  Computer Methods in Biomechanics and Biomedical Engineering: Imaging and Visualization. Taylor & Francis, 2022. DOI 10.1080/21681163.2022.2156392, ISSN 2168-1163. [elib]
• Mallikarjuna Vayugundla, Moritz Kuhne, Armin Wedler, Rudolph Triebel:
  Datasets and Benchmarking of a path planning pipeline for planetary rovers
  In: 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) Workshop: Evaluating Motion Planning Performance. 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) Workshop: Evaluating Motion Planning Performance, 23-27 Oct 2022, Kyoto, Japan, 2022. [elib]
• Markus Wendelin Knauer, Maximilian Denninger, Rudolph Triebel:
  HOWS-CL-25: Household Objects Within Simulation Dataset for Continual Learning
  Zenodo.org. 2022. DOI 10.5281/zenodo.7189434. [elib]
• Riccardo Giubilato, Wolfgang Stürzl, Armin Wedler, Rudolph Triebel:
  Challenges of SLAM in Extremely Unstructured Environments: The DLR Planetary Stereo, Solid-State LiDAR, Inertial Dataset
  IEEE Robotics and Automation Letters, vol. 7 (4). IEEE - Institute of Electrical and Electronics Engineers, 2022. DOI 10.1109/LRA.2022.3188118, ISSN 2377-3766. [elib]
• Riccardo Giubilato, Mallikarjuna Vayugundla, Cedric Le Gentil, Martin J. Schuster, William McDonald et 3 al.:
  Robust place recognition with Gaussian Process Gradient Maps for teams of robotic explorers in challenging lunar environments
  In: Proceedings of the International Astronautical Congress, IAC. International Astronautical Congress - IAC 2022, Paris, France, 2022. ISSN 0074-1795. [elib]
• Lukas Meyer, Klaus H. Strobl, Rudolph Triebel:
  The Probabilistic Robot Kinematics Model and Its Application to Sensor Fusion
  In: 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2022. 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems, 23-27 Oct 2022, Kyoto, Japan, 2022. DOI 10.1109/IROS47612.2022.9981399, ISBN 978-166547927-1, ISSN 2153-0858. [elib]
• Armin Wedler, Marcus Gerhard Müller, Martin Schuster, Maximilian Durner, Peter Lehner et 55 al.:
  Finally! Insights into the ARCHES Lunar Planetary Exploration Analogue Campaign on Etna in summer 2022
  In: 73rd International Astronautical Congress, IAC 2022. 73. International Astronautical Congress (IAC), 18-23 September 2022, 18-23 Sep 2022, Paris, France, 2022. ISSN 0074-1795. [elib]
• Anja Köhntopp, Christoph Kölbl, Daniel Häfele, Lisa Dreier, Frank Duschek et 2 al.:
  Experimental Evaluation of a Concept for Standoff Detection of Explosives on Moving Targets
  14th CBRNe Protection Symposium, 20-22 Sep 2022, Malmö, Schweden, 2022. [elib]
• Riccardo Giubilato, Cedric Le Gentil, Mallikarjuna Vayugundla, Martin Schuster, Teresa Vidal-Calleja et 1 al.:
  GPGM-SLAM: a Robust SLAM System for Unstructured Planetary Environments with Gaussian Process Gradient Maps
  Field Robotics, vol. 2. Field Robotics Publication Society, 2022. DOI 10.55417/fr.2022053, ISSN 2771-3989. [elib]
• Manuel Stoiber, Martin Sundermeyer, Rudolph Triebel:
  Iterative Corresponding Geometry: Fusing Region and Depth for Highly Efficient 3D Tracking of Textureless Objects
  In: 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2022. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 18-24 Jun 2022, New Orleans, LA, USA, 2022. DOI 10.1109/CVPR52688.2022.00673, ISBN 978-166546946-3, ISSN 1063-6919. [elib]
• Alejandro Fontan Villacampa, Laura Oliva Maza, Javier Civera Sancho, Rudolph Triebel:
  Model for Multi-View Residual Covariances Based on Perspective Deformation
  IEEE Robotics and Automation Letters. IEEE - Institute of Electrical and Electronics Engineers, 2022. DOI 10.1109/LRA.2022.3142905, ISSN 2377-3766. [elib]
• Marcus Gerhard Müller, Jaeyoung Lim, Lukas Schmid, Hermann Blum, Wolfgang Stürzl et 3 al.:
  Interactive OAISYS: A photorealistic terrain simulation for robotics research
  In: ICRA 2022 Workshop on Releasing Robots into the Wild: Simulations, Benchmarks, and Deployment. ICRA 2022 Workshop on Releasing Robots into the Wild: Simulations, Benchmarks, and Deployment, Philadelphia, USA, 2022. [elib]
• Manuel Stoiber, Martin Pfanne, Klaus Strobl, Rudolph Triebel, Alin Albu-Schäffer:
  SRT3D: A Sparse Region-Based 3D Object Tracking Approach for the Real World
  International Journal of Computer Vision, vol. 130 (4). Springer, 2022. DOI 10.1007/s11263-022-01579-8, ISSN 0920-5691. [elib]
• Wout Boerdijk, Maximilian Durner, Martin Sundermeyer, Rudolph Triebel:
  Towards Robust Perception of Unknown Objects in the Wild
  In: ICRA 2022 workshop on “Robotic Perception and Mapping: Emerging Techniques”. 2022 IEEE International Conference on Robotics and Automation (ICRA) (Workshops), 23-27 May 2022, Philadelphia, 2022. [elib]
• Jianxiang Feng, Jongseok Lee, Maximilian Durner, Rudolph Triebel:
  Bayesian Active Learning for Sim-to-Real Robotic Perception
  In: 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2022. 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems, 23-27 Oct 2022, Kyoto, Japan, 2022. DOI 10.1109/IROS47612.2022.9982175, ISBN 978-166547927-1, ISSN 2153-0858. [elib]
• Markus Wendelin Knauer, Maximilian Denninger, Rudolph Triebel:
  RECALL: Rehearsal-free Continual Learning for Object Classification
  In: 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2022. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2022), 24-26 Oct 2022, Kyoto, Japan, 2022. DOI 10.1109/IROS47612.2022.9981968, ISBN 978-166547927-1, ISSN 2153-0858. [elib]
• Lukas Meyer, Leonard Klüpfel, Maximilian Durner, Rudolph Triebel:
  Robust Probabilistic Robot Arm Keypoint Detection Exploiting Kinematic Knowledge
  In: 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems, Workshop on Probabilistic Robotics in the Age of Deep Learning. Workshop on Probabilistic Robotics in the Age of Deep Learning, IEEE/RSJ International Conference on Intelligent Robots and Systems, 27 Oct 2022, Kyoto, Japan, 2022. [elib]
• Cedrique Rovile Njieutcheu Tassi, Jakob Gawlikowski, Auliya Unnisa Fitri, Rudolph Triebel:
  The impact of averaging logits over probabilities on ensembles of neural networks
  In: 2022 Workshop on Artificial Intelligence Safety, AISafety 2022, CEUR Workshop Proceedings (CEUR-WS.org), vol. 3215 (19). AISafety 2022: Workshop on Artificial Intelligence Safety, 23 Jul - 25 Jul 2022, Vienna, Austria, 2022. ISSN 1613-0073. [elib]
• Dominik Winkelbauer, Berthold Bäuml, Matthias Humt, Nils Thuerey, Rudolph Triebel:
  A Two-Stage Learning Architecture That Generates High-Quality Grasps for a Multi-Fingered Hand
  In: 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2022. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2022), 23-27 Oct 2022, Kyoto, Japan, 2022. DOI 10.1109/IROS47612.2022.9981133, ISBN 978-166547927-1, ISSN 2153-0858. [elib]
• Dominik Schnaus, Jongseok Lee, Rudolph Triebel:
  Kronecker-Factored Optimal Curvature
  In: Bayesian Deep Learning NeurIPS 2021 Workshop. Bayesian Deep Learning NeurIPS 2021 Workshop, Virtual, 2021. [elib]
• Hsuan-Cheng Liao, Riccardo Giubilato, Wolfgang Stürzl, Rudolph Triebel:
  Learning-Based Matching of 3D Submaps from Dense Stereo for Planetary-Like Environments
  In: 20th International Conference on Advanced Robotics, ICAR 2021. International Conference on Advanced Robotics (ICAR), Ljubljana, Slovenia, 2021. DOI 10.1109/ICAR53236.2021.9659334, ISBN 978-166543684-7. [elib]
• Jongseok Lee, Jianxiang Feng, Matthias Humt, Marcus Gerhard Müller, Rudolph Triebel:
  Trust Your Robots! Predictive Uncertainty Estimation of Neural Networks with Sparse Gaussian Processes
  In: 5th Conference on Robot Learning, CoRL 2021. 5th Conference on Robot Learning (CoRL), London, United Kingdon, 2021. ISSN 2640-3498. [elib]
• Wout Boerdijk, Marcus Gerhard Müller, Maximilian Durner, Martin Sundermeyer, Werner Friedl et 5 al.:
  Rock Instance Segmentation from Synthetic Images for Planetary Exploration Missions
  In: 2021 IEE/RSJ International Conference on Intelligent Robots and Systems, IROS (Workshops). Advances in Space Robotics and Back to Earth (IROS WS), 01 Oct 2021, Prague (online), 2021. [elib]
• Yunis Fanger, Tim Bodenmüller, Rudolph Triebel:
  Distributed semantic mapping for heterogeneous robotic teams
  In: Proceedings DGR Days 2021. KIT Science Week Scientific Conference and DGR-Days 2021, 6-8 Oct 2021, Karlsruhe, Germany, 2021. [elib]
• Riccardo Giubilato, Mallikarjuna Vayugundla, Wolfgang Stürzl, Martin Schuster, Armin Wedler et 1 al.:
  Multi-Modal Loop Closing in Unstructured Planetary Environments with Visually Enriched Submaps
  In: 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2021. 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 27 Sept - 01 Oct 2021, Prague, Czech Republic, 2021. DOI 10.1109/IROS51168.2021.9635915, ISBN 978-166541714-3, ISSN 2153-0858. [elib]
• Armin Wedler, Marcus Gerhard Müller, Martin Schuster, Maximilian Durner, Sebastian Brunner et 53 al.:
  Preliminary Results for the Multi-Robot, Multi-Partner, Multi-Mission, Planetary Exploration Analogue Campaign on Mount Etna
  In: Proceedings of the International Astronautical Congress, IAC. 72nd International Astronautical Congress (IAC), 25-29 Oct 2021, Dubai, UAE, 2021. ISSN 0074-1795. [elib]
• Martin Sundermeyer, Arsalan Mousavian, Rudolph Triebel, Dieter Fox:
  Contact-GraspNet: Efficient 6-DoF Grasp Generation in Cluttered Scenes
  In: 2021 IEEE International Conference on Robotics and Automation, ICRA 2021. IEEE International Conference on Robotics and Automation, Xian, China (remote), 2021. DOI 10.1109/ICRA48506.2021.9561877, ISBN 978-172819077-8, ISSN 1050-4729. [elib]
• Irene Ballester Campos, Alejandro Fontán Villacampa, Javier Civera Sancho, Klaus H. Strobl, Rudolph Triebel:
  DOT: Dynamic Object Tracking for Visual SLAM
  In: 2021 IEEE International Conference on Robotics and Automation, ICRA 2021. 2021 IEEE International Conference on Robotics and Automation (ICRA), 30 May - 05 June 2021, Xi'an, China, 2021. DOI 10.1109/ICRA48506.2021.9561452, ISBN 978-172819077-8, ISSN 1050-4729. [elib]
• Lukas Meyer, Michal Smisek, Alejandro Fontan Villacampa, Laura Oliva Maza, Daniel Medina et 7 al.:
  The MADMAX data set for visual-inertial rover navigation on Mars
  Journal of Field Robotics. Wiley, 2021. DOI 10.1002/rob.22016, ISSN 1556-4959. [elib]
• Marco Sewtz, Xiaozhou Luo, Johannes Landgraf, Tim Bodenmüller, Rudolph Triebel:
  Robust Approaches for Localization on Multi-camera Systems in Dynamic Environments
  In: 2021 International Conference on Automation, Robotics and Applications, ICARA 2021. 2021 7th International Conference on Automation, Robotics and Applications (ICARA), 4-6 Feb. 2021, Prag, Tschechien, 2021. DOI 10.1109/ICARA51699.2021.9376475, ISBN 978-073814290-6. [elib]
• Wout Boerdijk, Martin Sundermeyer, Maximilian Durner, Rudolph Triebel:
  "What's This?" - Learning to Segment Unknown Objects from Manipulation Sequences
  In: 2021 IEEE International Conference on Robotics and Automation, ICRA 2021. 2021 IEEE International Conference on Robotics and Automation, ICRA 2021, 31 May - 05 June 2021, Xi'an, China / online (hybrid), 2021. DOI 10.1109/ICRA48506.2021.9560806, ISBN 978-172819077-8, ISSN 1050-4729. [elib]
• Maximilian Durner, Wout Boerdijk, Martin Sundermeyer, Werner Friedl, Zoltan-Csaba Marton et 1 al.:
  Unknown Object Segmentation from Stereo Images
  In: 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2021. International Conference on Intelligent Robots and Systems, 27 Sep - 1 Oct 2021, Prague (online), 2021. DOI 10.1109/IROS51168.2021.9636281, ISBN 978-166541714-3, ISSN 2153-0858. [elib]
• Hannah Lehner, Martin J. Schuster, Tim Bodenmüller, Rudolph Triebel:
  Exploration of Large Outdoor Environments Using Multi-Criteria Decision Making
  In: 2021 IEEE International Conference on Robotics and Automation, ICRA 2021. 2021 IEEE International Conference on Robotics and Automation (ICRA), 30 May - 5 June 2021, Xi'an, China, 2021. DOI 10.1109/ICRA48506.2021.9561580, ISBN 978-172819077-8, ISSN 1050-4729. [elib]
• Maria Lyssenko, Christoph Gladisch, Christian Heinzemann, Matthias Woehrle, Rudolph Triebel:
  From Evaluation to Verification: Towards Task-oriented Relevance Metricsfor Pedestrian Detection in Safety-critical Domains
  In: 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2021. Safe Artificial Intelligence for Automated Driving (SAIAD), 19.Juni 2021, virtuell, 2021. DOI 10.1109/CVPRW53098.2021.00013, ISBN 978-1-6654-4899-4, ISSN 2160-7508. [elib]
• Maria Lyssenko, Christoph Gladisch, Christian Heinzemann, Matthias Woehrle, Rudolph Triebel:
  Instance Segmentation in CARLA: Methodology and Analysis for Pedestrian-oriented Synthetic Data Generation in Crowded Scenes
  In: 18th IEEE/CVF International Conference on Computer Vision Workshops, ICCVW 2021. 2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW), 11-17 Oct 2021, Montreal, BC, Canada, 2021. DOI 10.1109/ICCVW54120.2021.00115, ISBN 978-166540191-3, ISSN 1550-5499. [elib]
• Lukas Meyer, Klaus H. Strobl, Rudolph Triebel:
  Robust Vision-Based Pose Correction for a Robotic Manipulator Using Active Markers
  In: ISER 2020: Experimental Robotics, Springer Proceedings in Advanced Robotics. Experimental Robotics, 14-18 Nov 2021, Malta, 2021. DOI 10.1007/978-3-030-71151-1_47, ISBN 978-3-030-71150-4, ISSN 2511-1256. [elib]
• Marcus Gerhard Müller, Maximilian Durner, Abel Gawel, Wolfgang Stürzl, Rudolph Triebel et 1 al.:
  A Photorealistic Terrain Simulation Pipeline for Unstructured Outdoor Environments
  In: 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2021. 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 27 Sep - 1 Oct 2021, Prague (online), 2021. DOI 10.1109/IROS51168.2021.9636644, ISBN 978-166541714-3, ISSN 2153-0858. [elib]
• Mallikarjuna Vayugundla, Tim Bodenmüller, Martin J. Schuster, Marcus G. Müller, Lukas Meyer et 12 al.:
  The MMX Rover on Phobos: The Preliminary Design of the DLR Autonomous Navigation Experiment
  In: 2021 IEEE Aerospace Conference, AERO 2021. 2021 IEEE Aerospace Conference (50100), Virtual, 2021. DOI 10.1109/AERO50100.2021.9438496, ISBN 978-172817436-5, ISSN 1095-323X. [elib]
• Dominik Winkelbauer, Maximilian Denninger, Rudolph Triebel:
  Learning to Localize in New Environments from Synthetic Training Data
  In: 2021 IEEE International Conference on Robotics and Automation, ICRA 2021. ICRA 2021, 30. May - 5. June 2021, Xi'an, China, 2021. DOI 10.1109/ICRA48506.2021.9560872, ISBN 978-172819077-8, ISSN 1050-4729. [elib]
• Martin Wudenka, Marcus Gerhard Müller, Nikolaus Demmel, Armin Wedler, Rudolph Triebel et 2 al.:
  Towards Robust Monocular Visual Odometry for Flying Robots on Planetary Missions
  In: 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2021. 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 27 Sep - 1 Oct 2021, Prague (online), 2021. DOI 10.1109/IROS51168.2021.9636844, ISBN 978-166541714-3, ISSN 2153-0858. [elib]
• Manuel Stoiber, Martin Pfanne, Klaus Strobl, Rudolph Triebel, Alin Olimpiu Albu-Schäffer:
  A Sparse Gaussian Approach to Region-Based 6DoF Object Tracking
  In: 15th Asian Conference on Computer Vision, ACCV 2020, Lecture Notes in Computer Science (LNCS), vol. 12623. 15th Asian Conference on Computer Vision, ACCV 2020, 30 Nov - 04 Dec 2020, Kyoto, Japan, 2020. DOI 10.1007/978-3-030-69532-3_40, ISBN 978-303069531-6, ISSN 0302-9743. [elib]
• Felix Schiel, Annette Hagengruber, Jörn Vogel, Rudolph Triebel:
  Incremental learning of EMG-based Control commands using Gaussian Processes
  In: 4th Conference on Robot Learning, CoRL 2020, vol. 155. Conference on Robot Learning (CoRL) 2020, 16.-18. Nov 2020, virtual conference, 2020. ISSN 2640-3498. [elib]
• Matthias Humt, Jongseok Lee, Rudolph Triebel:
  Bayesian Optimization Meets Laplace Approximation for Robotic Introspection
  In: 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2020. IROS 2020 Long-Term Autonomy Workshop, 25. Okt. - 25. Nov. 2020, Las Vegas, USA (online), 2020. ISBN 978-172816212-6, ISSN 2153-0858. [elib]
• Riccardo Giubilato, Cedric Le Gentil, Mallikarjuna Vayugundla, Teresa Vidal-Calleja, Rudolph Triebel:
  GPGM-SLAM: Towards a Robust SLAM System for Unstructured Planetary Environments with Gaussian Process Gradient Maps
  In: 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems Workshops, IROS 2020. Workshop on Planetary Exploration Robotics, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Oct 2020, Las Vegas (Virtual), 2020. ISBN 978-172816212-6, ISSN 2153-0858. [elib]
• Martin J. Schuster, Marcus G. Müller, Sebastian G. Brunner, Hannah Lehner, Peter Lehner et 33 al.:
  The ARCHES Space-Analogue Demonstration Mission: Towards Heterogeneous Teams of Autonomous Robots for Collaborative Scientific Sampling in Planetary Exploration
  IEEE Robotics and Automation Letters, vol. 5 (4). IEEE - Institute of Electrical and Electronics Engineers, 2020. DOI 10.1109/LRA.2020.3007468, ISSN 2377-3766. [elib]
• Marco Sewtz, Tim Bodenmüller, Rudolph Triebel:
  Robust MUSIC-Based Sound Source Localization in Reverberant and Echoic Environments
  In: 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2020. IEEE/RSJ International Conference on Robots and Systems IROS, Las Vegas, USA, 2020. DOI 10.1109/IROS45743.2020.9340826, ISBN 978-172816212-6, ISSN 2153-0858. [elib]
• Maximilian Denninger, Rudolph Triebel:
  3D Scene Reconstruction from a Single Viewport
  In: 16th European Conference on Computer Vision, ECCV 2020, European Conference on Computer Vision, vol. 16. European Conference on Computer Vision ECCV 2020, 23.-28. August 2020, Virtuell, 2020. DOI 10.1007/978-3-030-58542-6_4, ISBN 978-303058541-9, ISSN 0302-9743. [elib]
• Jonathan Wenger, Hedvig Kjellström, Rudolph Triebel:
  Non-Parametric Calibration for Classification
  In: 23rd International Conference on Artificial Intelligence and Statistics, AISTATS. International Conference on Artificial Intelligence and Statistics (AISTATS), 26. - 28. August 2020, Virtual, 2020. ISSN 2640-3498. [elib]
• Jongseok Lee, Matthias Humt, Jianxiang Feng, Rudolph Triebel:
  Estimating Model Uncertainty of Neural Networks in Sparse Information Form
  In: 37th International Conference on Machine Learning, ICML 2020. 37th International Conference on Machine Learning (ICML), Vienna, Austria, 2020. ISBN 978-171382112-0, ISSN 2640-3498. [elib]
• Kashmira Shinde, Jongseok Lee, Matthias Humt, Aydin Sezgin, Rudolph Triebel:
  Learning Multiplicative Interactions with Bayesian Neural Networks for Visual-Inertial Odometry
  In: Workshop on AI for Autonomous Driving (AIAD), the 37th International Conference on Machine Learning (ICML). Workshop on AI for Autonomous Driving (AIAD), the 37 th International Conference on Machine Learning (ICML), Vienna, Austria, 2020. [elib]
• Alejandro Fontan Villacampa, Javier Civera, Rudolph Triebel:
  Information-Driven Direct RGB-D Odometry
  In: 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2020. 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 13-19 June 2020, Seattle, WA, USA, USA, 2020. DOI 10.1109/CVPR42600.2020.00498, ISBN 978-172817168-5, ISSN 1063-6919. [elib]
• Anko Börner, Heinz-Wilhelm Hübers, Odej Kao, Florian Schmidt, Sören Becker et 13 al.:
  Sensor Artificial Intelligence and its Application to Space Systems - A White Paper
  2020. DOI 10.14279/depositonce-10185. [elib]
• Jongseok Lee, Ribin Radhakrishna Balachandran, Iurii Sarkisov, Marco De Stefano, Andre Coelho et 4 al.:
  Visual-Inertial Telepresence for Aerial Manipulation
  In: 2020 IEEE International Conference on Robotics and Automation, ICRA 2020. 2020 IEEE International Conference on Robotics and Automation, Paris, 2020. DOI 10.1109/ICRA40945.2020.9197394, ISBN 978-172817395-5, ISSN 1050-4729. [elib]
• Pooja Krishnan, Antonin Raffin, Julian Klodmann, Rudolph Triebel:
  Recognition and segmentation of surgical gestures
  In: CARS 2020—Computer Assisted Radiology and Surgery, Proceedings of the 34th International Congress and Exhibition, International Journal of Computer Assisted Radiology and Surgery, vol. 15. CARS 2020—Computer Assisted Radiology and Surgery, Proceedings of the 34th International Congress and Exhibition, 23-27 Jun 2020, Munich, 2020. DOI 10.1007/s11548-020-02171-6. [elib]
• Marco Sewtz, Tim Bodenmüller, Rudolph Triebel:
  Sound Source Localization for Robotic Application
  In: ICRA Workshop. Unconventional Sensor in Robotics, Paris, Frankreich, 2020. [elib]
• Martin Sundermeyer, Maximilian Durner, En Yen Puang, Zoltan-Csaba Marton, Narunas Vaskevicius et 2 al.:
  Multi-Path Learning for Object Pose Estimation Across Domains
  In: 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2020. IEEE Conference on Computer Vision and Pattern Recognition, Seattle, USA, 2020. DOI 10.1109/CVPR42600.2020.01393, ISBN 978-172817168-5, ISSN 1063-6919. [elib]
• Riccardo Giubilato, Mallikarjuna Vayugundla, Martin Schuster, Wolfgang Stürzl, Armin Wedler et 2 al.:
  Relocalization With Submaps: Multi-Session Mapping for Planetary Rovers Equipped With Stereo Cameras
  IEEE Robotics and Automation Letters, vol. 5 (2). IEEE - Institute of Electrical and Electronics Engineers, 2020. DOI 10.1109/LRA.2020.2964157, ISSN 2377-3766. [elib]
• Martin Sundermeyer, Zoltan-Csaba Marton, Maximilian Durner, Rudolph Triebel:
  Augmented Autoencoders: Implicit 3D Orientation Learning for 6D Object Detection
  International Journal of Computer Vision. Springer, 2020. DOI 10.1007/s11263-019-01243-8, ISSN 0920-5691. [elib]
• Wout Boerdijk, Martin Sundermeyer, Maximilian Durner, Rudolph Triebel:
  Self-Supervised Object-in-Gripper Segmentation from Robotic Motions
  In: 4th Conference on Robot Learning, CoRL 2020. CoRL 2020, 16-18 Nov 2020, Virtual, 2020. ISSN 2640-3498. [elib]
• Cedric Le Gentil, Mallikarjuna Vayugundla, Riccardo Giubilato, Teresa Vidal-Calleja, Rudolph Triebel:
  Gaussian Process Gradient Maps for Loop-Closure Detection in Unstructured Planetary Environments
  In: 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2020. International Conference on Intelligent Robots and Systems (IROS), Virtual, 2020. DOI 10.1109/IROS45743.2020.9341667, ISBN 978-172816212-6, ISSN 2153-0858. [elib]
• Jiayu Liu, Ioannis Chiotellis, Rudolph Triebel, Daniel Cremers:
  Effective Version Space Reduction for Convolutional Neural Networks
  In: European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2020, Lecture Notes in Computer Science, vol. 12458. European Conference on Machine Learning and Principles and Practive of Knowledge Discovery in Databases (ECML-PKDD), 14.-18. Sep 2020, Virtual, 2020. DOI 10.1007/978-3-030-67661-2_6, ISBN 978-303067660-5, ISSN 0302-9743. [elib]
• Martin J. Schuster, Bernhard Rebele, Marcus G. Müller, Sebastian G. Brunner, Andreas Dömel et 27 al.:
  The ARCHES Moon-Analogue Demonstration Mission: Towards Teams of Autonomous Robots for Collaborative Scientific Sampling in Lunar Environments
  In: European Lunar Symposium. European Lunar Symposium (ELS), 12.-14. Mai 2020, virtuell (Padua, Italien), 2020. [elib]
• Marco Sewtz, Tim Bodenmüller, Rudolph Triebel:
  Design of a Microphone Array for Rollin Justin
  In: ICRA Workshop. Sound Source Localization and its Application for Robots, Montreal, Canada, 2019. [elib]
• Florian Steidle, Wolfgang Stürzl, Rudolph Triebel:
  Visual-inertial sensor fusion with a bio-inspired polarization compass for navigation of MAVs
  In: IMAV2019 Proceedings. 11th International Micro Air Vehicle Competition and Conference, 30 Sep - 04 Oct 2019, Madrid, Spain, 2019. [elib]
• Philipp Lutz, Marcus Gerhard Müller, Moritz Maier, Samantha Stoneman, Teodor Tomic et 6 al.:
  ARDEA — An MAV with skills for future planetary missions
  Journal of Field Robotics. Wiley, 2019. DOI 10.1002/rob.21949, ISSN 1556-4959. [elib]
• En Yen Puang, Peter Lehner, Zoltan-Csaba Marton, Maximilian Durner, Rudolph Triebel et 1 al.:
  Visual Repetition Sampling for Robot Manipulation Planning
  In: 2019 International Conference on Robotics and Automation, ICRA 2019. ICRA 2019, 20-24 May 2019, Montreal, 2019. DOI 10.1109/ICRA.2019.8793942, ISBN 978-153866026-3, ISSN 10504729. [elib]
• Martin J. Schuster, Marcus G. Müller, Sebastian G. Brunner, Hannah Lehner, Peter Lehner et 11 al.:
  Towards Heterogeneous Robotic Teams for Collaborative Scientific Sampling in Lunar and Planetary Environments
  In: Workshop on Informed Scientific Sampling in Large-scale Outdoor Environments at the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2019). Workshop on Informed Scientific Sampling in Large-scale Outdoor Environments at the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Macau, 2019. [elib]
• Christian Nissler, Maximilian Durner, Zoltan-Csaba Marton, Rudolph Triebel:
  Simultaneous Calibration and Mapping
  In: Experimental Robotics. 2018 International Symposium on Experimental Robotics (ISER), 5-8 Nov 2018, Buenos Aires, Argentina, 2018. DOI 10.1007/978-3-030-33950-0_68. [elib]
• Maximilian Denninger, Rudolph Triebel:
  Persistent Anytime Learning of Objects from Unseen Classes
  In: 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2018. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2018), 01 Oct - 05 Oct 2018, Madrid, Spain, 2018. DOI 10.1109/iros.2018.8594165, ISBN 978-153868094-0, ISSN 2153-0858. [elib]
• Martin Sundermeyer, Zoltan-Csaba Marton, Maximilian Durner, Manuel Brucker, Rudolph Triebel:
  Implicit 3D Orientation Learning for 6D Object Detection from RGB Images
  In: 15th European Conference on Computer Vision, ECCV 2018, Lecture Notes in Computer Science, vol. 11210. European Conference on Computer Vision, 10-13 Sep 2018, Munich, Germany, 2018. DOI 10.1007/978-3-030-01231-1_43, ISBN 978-3-030-01230-4, ISSN 0302-9743. [elib]
• Martin Sundermeyer, En Yen Puang, Zoltan-Csaba Marton, Maximilian Durner, Rudolph Triebel:
  Learning Implicit Representations of 3D Object Orientations from RGB
  ICRA 2018 Workshop on Representing a Complex World, Brisbane, Australia, 2018. [elib]
• Manuel Brucker, Maximilian Durner, Zoltan-Csaba Marton, Rares Ambrus, Axel Wendt et 3 al.:
  Semantic Labeling of Indoor Environments from 3D RGB Maps
  In: 2018 IEEE International Conference on Robotics and Automation, ICRA 2018. IEEE International Conference on Robotics and Automation, Brisbane, Australien, 2018. DOI 10.1109/ICRA.2018.8462922, ISBN 978-153863081-5, ISSN 1050-4729. [elib]
• Manuel Brucker, Maximilian Durner, Zoltan-Csaba Marton, Bálint-Benczédi Ferenc, Martin Sundermeyer et 1 al.:
  6DoF Pose Estimation for Industrial Manipulation based on Synthetic Data
  International Symposium on Experimental Robotic, Argentinien, 2018. DOI 10.1007/978-3-030-33950-0_58. [elib]
• Ioannis Chiotellis, Franziska Zimmermann, Daniel Cremers, Rudolph Triebel:
  Incremental Semi-Supervised Learning from Streams for Object Classification
  In: 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2018. International Conference on Intelligent Robots and Systems (IROS), Madrid, Spain, 2018. ISBN 978-153868094-0, ISSN 2153-0858. [elib]
• Iris Lynne Grixa, Philipp Schulz, Wolfgang Stürzl, Rudolph Triebel:
  Appearance-based Along-route Localization for Planetary Missions
  In: 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2018. IROS 2018, 01-05 Oct 2018, Madrid, 2018. DOI 10.1109/iros.2018.8594518, ISBN 978-153868094-0, ISSN 2153-0858. [elib]
• Mark Post, Romain Michalec, Alessandro Bianco, Xiu Yan, Andrea De Maio et 17 al.:
  InFuse Data Fusion Methodology for Space Robotics, Awareness and Machine Learning
  In: Proceedings of the International Astronautical Congress, IAC. 69th International Astronautical Congress, Oct 2018, Bremen, Germany, 2018. ISSN 0074-1795. [elib]
• Christian Nissler, Zoltan-Csaba Marton, Hannes Kisner, Ulrike Thomas, Rudolph Triebel:
  A Method for Hand-Eye and Camera-to-Camera Calibration for Limited Fields of View
  In: IEEE International Conference on Intelligent Robots and Systems. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Vancouver, Kanada, 2017. DOI 10.1109/iros.2017.8206478. [elib]
• Maximilian Durner, Zoltan-Csaba Marton, Simon Kriegel, Manuel Brucker, Sebastian Riedel et 2 al.:
  Automated Benchmarks and Optimization of Perception Tasks
  IROS 2017: 2nd Workshop on Machine Learning Methods for High-Level Cognitive Capabilities in Robotics, 28 September 2017, Vancouver, Canada, 2017. [elib]
• Mark Post, Fabrice Souvannavong, Shashank Govinderaj, Jeremi Gancet, Vincent Bissonnette et 15 al.:
  InFuse : infusing perception and data fusion into space robotics with open building blocks
  In: Informatics in Control, Automation and Robotics. 14th International Conference on Informatics in Control, Automation and Robotics, 2017-07-26 - 2017-07-28, Madrid, Spain, 2017. [elib]
• Maximilian Durner, Simon Kriegel, Sebastian Riedel, Manuel Brucker, Zoltan Csaba Marton et 2 al.:
  Experience-based Optimization of Robotic Perception
  In: International Conference on Advanced Robotics, Proceedings, ICAR. ICAR 2017 - 18th International Conference on Advanced Robotics, 10-12 July 2017, Hong Kong, China, 2017. DOI 10.1109/ICAR.2017.8023493, ISBN 978-1-5386-3157-7. [elib]
• Shashank Govindaraj, Jeremi Gancet, Mark Post, Raul Dominguez, Fabrice Souvannavog et 14 al.:
  INFUSE: A COMPREHENSIVE FRAMEWORK FOR DATA FUSION IN SPACE ROBOTICS
  14th symposium on Advanced Space Technologies in Robotics and Automation, 20-22 June 2017, Leiden, the Netherlands, 2017. [elib]
• Monika Ullrich, Haider Ali, Maximilian Durner, Zoltan-Csaba Marton, Rudolph Triebel:
  Selecting CNN Features for Online Learning of 3D Objects
  In: IEEE International Conference on Intelligent Robots and Systems. IROS 2017, 24-28 Sept 2017, Vancouver, Canada, 2017. DOI 10.1109/iros.2017.8206393. [elib]
• Tick Son Wang, Zoltan-Csaba Marton, Manuel Brucker, Rudolph Triebel:
  How Robots Learn to Classify New Objects Trained from Small Data Sets
  1st Conference on Robot Learning, 13-15 Nov 2017, Mountain View, United States, 2017. [elib]
• Rudolph Triebel, Hugo Grimmett, Rohan Paul, Ingmar Posner:
  Driven Learning for Driving: How Introspection Improves Semantic Mapping
  In: Robotics Research, The 16th International Symposium ISRR, Springer Tracts in Advanced Robotics, vol. 114. Springer International Publishing Switzerland. 2016. DOI 10.1007/978-3-319-28872-7_26, ISBN 978-3-3 19-28870-3. [elib]
• Ioannis Chiotellis, Rudolph Triebel, Thomas Windheuser, Daniel Cremers:
  Non-Rigid 3D Shape Retrieval via Large Margin Nearest Neighbor Embedding
  In: ECCV. European Conference on Computer Vision (ECCV), Amsterdam, Netherlands, 2016. DOI 10.1007/978-3-319-46475-6_21. [elib]
• Alexander Narr, Rudolph Triebel, Daniel Cremers:
  Stream-based Active Learning for Efficient and Adaptive Classification of 3D Objects
  In: IEEE International Conference on Robotics and Automation ICRA. Int. Conf. on Robotics and Automation, Stockholm, Sweden, 2016. DOI 10.1109/icra.2016.7487138. [elib]