% generated by bibtexbrowser % % Encoding: UTF-8 @inproceedings{kaestner10bayesian, author = {R. Kaestner and N. Engelhard and R. Triebel and R. Siegwart}, title = {A Bayesian Approach to Learning 3D Representations of Dynamic Environments}, booktitle = {Proc. of The 12th International Symposium on Experimental Robotics (ISER)}, year = {2010}, publisher = {Springer Press}, address = {Berlin}, } @inbook{petrovskaya12awareness, author = {A. Petrovskaya and M. Perrollaz and L. Oliveira and L. Spinello and R. Triebel and A. Makris and J.-D. Yoder and U. Nunes and C. Laugier and P. Bessière}, chapter = {Handbook of Intelligent Vehicles}, title = {Awareness of Road Scene Participants for Autonomous Driving}, publisher = {Springer}, year = {2012}, } @article{spinello10multiclass, author = {L.Spinello and R. Triebel and R. Siegwart}, title = {Multiclass Multimodal Detection and Tracking in Urban Environments}, journal = {International Journal of Robotics Research}, year = {2010}, } @article{kuemmerle08monte, author = {R. Kümmerle and R. Triebel and P.Pfaff and W. Burgard}, title = {Monte Carlo localization in outdoor terrains using multilevel surface maps}, journal = {Journal of Field Robotics}, year = {2008}, volume = {25}, number = {6-7}, pages = {346-359}, } @article{mozos07supervised, author = {Ó. M Mozos and R. Triebel and P. Jensfelt and A. Rottmann and W. Burgard}, title = {Supervised semantic labeling of places using information extracted from sensor data}, journal = {Journal on Robotics and Autonomous Systems (RAS)}, year = {2007}, volume = {55}, number = {5}, pages = {391-402}, } @article{pfaff07efficient, author = {P. Pfaff and R. Triebel and W. Burgard}, title = {An Efficient Extension to Elevation Maps for Outdoor Terrain Mapping and Loop Closing}, journal = {International Journal of Robotics Research (IJRR)}, year = {2007}, volume = {26}, number = {2}, pages = {217-230}, } @article{andreasson07noniterative, author = {H. Andreasson and R. Triebel and A. Lilienthal}, title = {Non-iterative Vision-based Interpolation of 3D Laser Scans}, journal = {Autonomous Robots and Agents}, year = {2007}, volume = {76}, pages = {83-90}, } @inproceedings{furgale13toward, author = {P. Furgale and U. Schwesinger and M. Rufli and W. Derendarz and H. Grimmett and P. Mühlfellner and S. Wonneberger and J. Timpner and S. Rottmann and B. Li and B. Schmidt and T. N Nguyen and E. Cardarelli and S. Cattani and S. Brüning and S. Horstmann and M. Stellmacher and H. Mielenz and K. Köser and M. Beermann and C. Häne and L. Heng and G. H. Lee and F. Fraundorfer and R. Iser and R. Triebel and I. Posner and P. Newman and L. Wolf and M. Pollefeys and S. Brosig and J. Effertz and C. Pradalier and R. Siegwart}, title = {Toward Automated Driving in Cities using Close-to-Market Sensors}, booktitle = {Proc. of IEEE Intelligent Vehicles Symposium}, year = {2013}, } @inproceedings{grimmett13knowing, author = {H. Grimmett and R. Paul and R. Triebel and I. Posner}, title = {Knowing When We Don{’}t Know: Introspective Classification for Mission-Critical Decision Making}, booktitle = {IEEE International Conference on Robotics and Automation (ICRA)}, year = {2013}, } @inproceedings{paul12semantic, author = {R. Paul and R. Triebel and D. Rus and P. Newman}, title = {Semantic Categorization of Outdoor Scenes with Uncertainty Estimates using Multi-Class Gaussian Process Classification}, booktitle = {Proc. of the International Conference on Intelligent Robots and Systems (IROS)}, year = {2012}, } @inproceedings{triebel12parsing, author = {R. Triebel and R. Paul and D. Rus and P. Newman}, title = {Parsing Outdoor Scenes from Streamed 3D Laser Data Using Online Clustering and Incremental Belief Updates}, booktitle = {Robotics Track of AAAI Conference on Artificial Intelligence}, year = {2012}, } @inproceedings{shin11unsupervised, author = {J. Shin and R. Triebel and R. Siegwart}, title = {Unsupervised 3D Object Discovery and Categorization for Mobile Robots}, booktitle = {Proc. of the International Symposium on Robotics Research (ISRR)}, year = {2011}, } @inproceedings{maye11bayesian, author = {J. Maye and R. Triebel and L. Spinello and R. Siegwart}, title = {Bayesian On-line Learning of Driving Behaviors}, booktitle = {International Conference on Robotics and Automation (ICRA)}, year = {2011}, } @inproceedings{spinello10exploiting, author = {L. Spinello and R. Triebel and D. Vasquez and K. Arras and R Siegwart}, title = {Exploiting Repetitive Object Patterns for Model Compression and Completion}, booktitle = {European Conference on Computer Vision}, year = {2010}, } @inproceedings{triebel10segmentation, author = {R. Triebel and J. Shin and R. Siegwart}, title = {Segmentation and Unsupervised Part-based Discovery of Repetitive Objects}, booktitle = {Robotics: Science and Systems}, year = {2010}, } @inproceedings{spinello10layered, author = {L. Spinello and K. O. Arras and R. Triebel and R. Siegwart}, title = {A Layered Approach to People Detection in 3D Range Data}, booktitle = {special track on Physically Grounded AI of AAAI}, year = {2010}, } @inproceedings{shin10unsupervised, author = {J. Shin and R. Triebel and R. Siegwart}, title = {Unsupervised Discovery of Repetitive Objects}, booktitle = {International Conference on Robotics and Automation (ICRA)}, year = {2010}, } @inproceedings{maye10inferring, author = {J. Maye and L. Spinello and R. Triebel and R. Siegwart}, title = {Inferring the Semantics of Direction Signs in Public Places}, booktitle = {International Conference on Robotics and Automation (ICRA)}, year = {2010}, } @inproceedings{spinello09detecting, author = {L. Spinello and A. Macho and R. Triebel and R. Siegwart}, title = {Detecting Pedestrians at Very Small Scales}, booktitle = {Proc. of the International Conference on Intelligent Robots and Systems (IROS)}, year = {2009}, } @inproceedings{spinello09multiclass, author = {L. Spinello and R. Triebel and R. Siegwart}, title = {Multiclass Multimodal Detection and Tracking in Urban Environments}, booktitle = {Proc. of Field and Service Robotics (FSR)}, year = {2009}, } @inproceedings{engel09medial, author = {D. Engel and L. Spinello and R. Triebel and C. Curio and R. Siegwart and H. Bülthoff}, title = {Medial Features for Superpixel Segmentation}, booktitle = {Proc. of the IAPR Conference on Machine Vision Applications (MVA)}, year = {2009}, } @inproceedings{spinello08multimodal, author = {L. Spinello and R. Triebel and R. Siegwart}, title = {Multimodal Detection and Tracking of Pedestrians in Urban Environments with Explicit Ground Plane Extraction}, booktitle = {Proc. of the International Conference on Intelligent Robots and Systems (IROS)}, year = {2008}, } @inproceedings{spinello08multimodal2, author = {L. Spinello and R. Triebel and R. Siegwart}, title = {Multimodal People Detection and Tracking in Crowded Scenes}, booktitle = {Proc. of the Twenty-Third Conference on Artificial Intelligence (AAAI)}, year = {2008}, } @inproceedings{triebel07collective, author = {R. Triebel and Ó. M Mozos and W. Burgard}, title = {Collective Classification for Labeling of Places and Objects in {2D and 3D} Range Data}, booktitle = {Proc. of the 31th Annual Conference of the German Classification Society on Data Analysis, Machine Learning, and Applications}, year = {2007}, } @inproceedings{kuemmerle07active, author = {R. Kümmerle and P. Pfaff and R. Triebel and W. Burgard}, title = {Active Monte Carlo Localization in Outdoor Terrains using Multi-Level Surface Maps}, booktitle = {Fachgespräche Autonome Mobile Systeme (AMS)}, year = {2007}, } @inproceedings{triebel07recovering, author = {R. Triebel and W. Burgard}, title = {Recovering the Shape of Objects in 3D Point Clouds with Partial Occlusions}, booktitle = {Proc. of the 6th International Conference on Field and Service Robotics (FSR)}, year = {2007}, } @inproceedings{pfaff07towards, author = {P. Pfaff and R. Triebel and C. Stachniss and P. Lamon and W. Burgard and R. Siegwart}, title = {Towards Mapping of Cities}, booktitle = {International Conference on Robotics and Automation (ICRA)}, year = {2007}, } @inproceedings{triebel07instance, author = {R. Triebel and R. Schmidt and Ó. M Mozos and W. Burgard}, title = {Instance-based AMN Classification for Improved Object Recognition in {2D and 3D} Laser Range Data}, booktitle = {Proc. of the International Joint Conference on Artificial Intelligence (IJCAI)}, year = {2007}, } @inproceedings{triebel06multi, author = {R. Triebel and P. Pfaff and W. Burgard}, title = {Multi-Level Surface Maps for Outdoor Terrain Mapping and Loop Closing}, booktitle = {Proc. of the International Conference on Intelligent Robots and Systems(IROS)}, year = {2006}, } @inproceedings{triebel06robust, author = {R. Triebel and K. Kersting and W. Burgard}, title = {Robust 3D Scan Point Classification using Associative Markov Networks}, booktitle = {International Conference on Robotics and Automation (ICRA)}, year = {2006}, } @inproceedings{andreasson06vision, author = {H. Andreasson and R. Triebel and A. Lilienthal}, title = {Vision-based Interpolation of 3D Laser Scans}, booktitle = {Proc. International Conference on Autonomous Robots and Agents (ICARA)}, year = {2006}, } @inproceedings{andreasson05improving, author = {H. Andreasson and R. Triebel and W. Burgard}, title = {Improving Plane Extraction from 3D Data by Fusing Laser Data and Vision}, booktitle = {Proc. of the International Conference on Intelligent Robots and Systems(IROS)}, year = {2005}, } @inproceedings{triebel05improving, author = {R. Triebel and W. Burgard}, title = {Improving Simultaneous Localization and Mapping in 3D Using Global Constraints}, booktitle = {Proc. of the Twentieth National Conference on Artificial Intelligence (AAAI)}, year = {2005}, } @inproceedings{triebel05using, author = {R. Triebel and W. Burgard and F. Dellaert}, title = {Using Hierarchical EM to Extract Planes from 3D Range Scans}, booktitle = {International Conference on Robotics and Automation (ICRA)}, year = {2005}, } @inproceedings{triebel04first, author = {R. Triebel and B. Frank and J. Meyer and W. Burgard}, title = {First steps towards a robotic system for flexible volumetric mapping of indoor environments}, booktitle = {Proc. of the 5th IFAC/EURON Symposium on Intelligent Autonomous Vehicles (IAV)}, year = {2004}, } @inproceedings{thrun03system, author = {S. Thrun and D. Hähnel and D. Ferguson and M. Montemerlo and R. Triebel and W. Burgard and C. Baker and Z. Omohundro and S. Thayer and W. Whittaker}, title = {A system for volumetric robotic mapping of underground mines}, booktitle = {Proc. of the IEEE International Conference on Robotics and Automation (ICRA)}, year = {2003}, } @inproceedings{haehnel03map, author = {D. Hähnel and R. Triebel and W. Burgard and S. Thrun}, title = {Map Building with Mobile Robots in Dynamic Environments}, booktitle = {Proc. of the IEEE International Conference on Robotics and Automation (ICRA)}, year = {2003}, } @inproceedings{triebel13confidence, author = {R. Triebel and H. Grimmett and I. Posner}, title = {Confidence Boosting: Improving the Introspectiveness of a Boosted Classifier for Efficient Learning}, booktitle = {Autonomous Learning Workshop at ICRA}, year = {2013}, } @inproceedings{triebel13introspective, author = {R. Triebel and H. Grimmett and R. Paul and I. Posner}, title = {Introspective Active Learning for Scalable Semantic Mapping}, booktitle = {Workshop on Active Learning in Robotics: Exploration, Curiosity, and Interaction at Robotics: Science and Systems}, year = {2013}, } @inproceedings{triebel13driven, author = {R. Triebel and H. Grimmett and R. Paul and I. Posner}, title = {Driven Learning for Driving: How Introspection Improves Semantic Mapping}, booktitle = {The International Symposium on Robotics Research (ISRR)}, year = {2013}, } @inproceedings{windheus-bmvc14, author = {T. Windheuser and M. Vestner and E. Rodola and R. Triebel and D. Cremers}, title = {Optimal Intrinsic Descriptors for Non-Rigid Shape Analysis}, booktitle = {British Machine Vision Conference (BMVC)}, year = {2014}, titleurl = {windheus-bmvc14.pdf}, topic = {Shape Analysis, Shape Matching, Machine Learning}, } @inproceedings{triebel14active, author = {R. Triebel and J. Stühmer and M. Souiai and D. Cremers}, title = {Active Online Learning for Interactive Segmentation Using Sparse Gaussian Processes}, booktitle = {German Conference on Pattern Recognition}, year = {2014}, topic = {Segmentation}, } @inproceedings{debnath14environment, author = {S. Debnath and S. S. Baishya and R. Triebel and V. Dutt and D. Cremers}, title = {Environment-adaptive Learning: How Clustering Helps to Obtain Good Training Data}, booktitle = {KI 2014: Advances in Artificial Intelligence}, pages = {68--79}, year = {2014}, editor = {Carsten Lutz and Michael Thielscher}, publisher = {Springer}, } @inproceedings{mund15active, author = {D. Mund and R. Triebel and D. Cremers}, title = {Active Online Confidence Boosting for Efficient Object Classification}, booktitle = {Proc. IEEE International Conference on Robotics and Automation (ICRA)}, year = {2015}, } @inproceedings{triebel15spencer, author = {R. Triebel and K. Arras and R. Alami and L. Beyer and S. Breuers and R. Chatila and M. Chetouani and D. Cremers and V. Evers and M. Fiore and H. Hung and O. A. I Ramírez and M. Joosse and H. Khambhaita and T. Kucner and B. Leibe and A. J. Lilienthal and T. Linder and M. Lohse and M. Magnusson and B. Okal and L. Palmieri and U. Rafi and M. van Rooij and L. Zhang}, title = {SPENCER: A Socially Aware Service Robot for Passenger Guidance and Help in Busy Airports}, booktitle = {Proc. Field and Service Robotics (FSR)}, year = {2015}, } @misc{triebel15approaches, author = {R. Triebel}, title = {Approaches for Efficient and Autonomous Learning in Robotics and Computer Vision}, year = {2015}, month = {June}, howpublished = {Habilitation thesis at TU Munich, Dep. of Computer Science}, } @inproceedings{tao15semi, author = {Y. Tao and R. Triebel and D. Cremers}, title = {Semi-supervised Online Learning for Efficient Classification of Objects in 3D Data Streams}, booktitle = {International Conference on Intelligent Robots and Systems (IROS)}, month = {sept}, year = {2015}, } @article{grimmett15introspective, author = {H Grimmett and R Triebel and R Paul and I Posner}, title = {Introspective classification for robot perception}, journal = {The International Journal of Robotics Research (IJRR)}, year = {2015}, addendum = {{Corrigendum-ibid.}}, } @inproceedings{stark-gcpr15, author = {F. Stark and C. Hazirbas and R. Triebel and D. Cremers}, title = {CAPTCHA Recognition with Active Deep Learning}, booktitle = {GCPR Workshop on New Challenges in Neural Computation}, year = {2015}, address = {Aachen, Germany}, keywords = {deep learning}, } @inproceedings{narr16stream, title = {Stream-based Active Learning for Efficient and Adaptive Classification of 3D Objects}, author = {A. Narr and R. Triebel and D. Cremers}, booktitle = {International Conference on Robotics and Automation (ICRA)}, year = {2016}, month = {May}, } @inproceedings{chiotellis2016csdlmnn, author = {I. Chiotellis and R. Triebel and T. Windheuser and D. Cremers}, title = {Non-Rigid 3D Shape Retrieval via Large Margin Nearest Neighbor Embedding}, booktitle = {European Conference on Computer Vision (ECCV)}, year = {2016}, month = {October}, keywords = {Geometry Processing}, } @inproceedings{sahand2016drive, author = {S. Sharifzadeh and I. Chiotellis and R. Triebel and D. Cremers}, title = {Learning to Drive using Inverse Reinforcement Learning and Deep Q-Networks}, year = {2016}, publisher = {NIPS Workshops}, month = {December}, keywords = {autonomous driving, reinforcement learning, artificial intelligence, DQN, deep learning}, } @inproceedings{ulrich2017selecting, author = {M Ullrich and H Ali and M Durner and ZC Marton and R Triebel}, title = {Selecting CNN Features for Online Learning of 3D Objects}, booktitle = {International Conference on Intelligent Robots and Systems (IROS)}, year = {2017}, } @inproceedings{nissler2017method, author = {C Nissler and ZC Marton and H Kisner and U Thomas and R Triebel}, title = {A Method for Hand-Eye and Camera-to-Camera Calibration for Limited Fields of View}, booktitle = {International Conference on Intelligent Robots and Systems (IROS)}, year = {2017}, } @inproceedings{wang2017how, author = {TS Wang and ZC Marton and M Brucker and R Triebel}, title = {How Robots Learn to Classify New Objects Trained from Small Data Sets}, booktitle = {Conference on Robot Learning (CoRL)}, year = {2017}, } @inproceedings{durner2017experience, author = {M Durner and S Kriegel and S Riedel and M Brucker and ZC Marton and F Balint-Benczedi and R Triebel}, title = {Experience-based Optimization of Robotic Perception}, booktitle = {International Conference on Advanced Robotics (ICAR)}, year = {2017}, } @inproceedings{40b4844e97900e861f4ae90c9306a832, author = {M. Brucker and M. Durner and R. Ambrus and Z.-C. Marton and A. Wendt and P. Jensfelt and K.O. Arras and R. Triebel}, title = {Semantic Labeling of Indoor Environments from {3D RGB} Maps}, booktitle = {International Conference on Robotics and Automation (ICRA)}, year = {2018}, } @inproceedings{sundermeyer18implicit, author = {M. Sundermeyer and Z. Marton and M. Durner and M. Brucker and R. Triebel}, title = {Implicit 3D Orientation Learning for 6D Object Detection from RGB Images}, booktitle = {European Conference on Computer Vision (ECCV)}, year = {2018}, month = {September}, award = {Best Paper Award}, } @inproceedings{denninger18persistent, author = {M. Denninger and R. Triebel}, title = {Persistent Anytime Learning of Objects from Unseen Classes }, booktitle = {International Conference on Intelligent Robots and Systems (IROS)}, address = {Madrid, Spain}, year = {2018}, month = {Oct.}, award = {Best Cognitive Robotics Paper Finalist}, } @inproceedings{grixa18appearance, author = {I. Grixa and P. Schulz and W. Stürzl and R. Triebel}, title = {Appearance-Based Along-Route Localization for Planetary Missions}, booktitle = {International Conference on Intelligent Robots and Systems (IROS)}, address = {Madrid, Spain}, year = {2018}, month = {Oct.}, } @inproceedings{chiotellis2018ilp, author = {I. Chiotellis and F. Zimmermann and D. Cremers and R. Triebel}, title = {Incremental Semi-Supervised Learning from Streams for Object Classification}, booktitle = {International Conference on Intelligent Robots and Systems (IROS)}, address = {Madrid, Spain}, year = {2018}, month = {Oct.}, } @inproceedings{brucker18pose, author = {M. Brucker and M. Durner and Z.-C. Márton and F. Bálint-Benczédi and M. Sundermeyer and R. Triebel}, title = {{6DoF} Pose Estimation for Industrial Manipulation based on Synthetic Data}, booktitle = {International Symposium on Experimental Robotics (ISER) }, address = {Buenos Aires, Argentina}, year = {2018}, month = {Nov.}, } @inproceedings{nissler18simultaneous, author = {C. Nissler and M. Durner and Z.-C. Márton and R. Triebel}, title = {Simultaneous Calibration and Mapping}, booktitle = {International Symposium on Experimental Robotics (ISER) }, address = {Buenos Aires, Argentina}, year = {2018}, month = {Nov.}, } @inproceedings{puang19visual, title = {{Visual Repetition Sampling for Robot Manipulation Planning}}, author = {E.Y. Puang and P. Lehner and Z.C. Marton and M. Durner and R. Triebel and A. Albu-Schäffer}, booktitle = {International Conference on Robotics and Automation (ICRA)}, year = {2019}, } @inproceedings{fontan20information, author = {A. Fontan-Villacampa and J. Civera and R. Triebel}, title = {Information-Driven Direct RGB-D Odometry}, booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2020}, award = {Oral Presentation}, } @inproceedings{sundermeyer20multi, author = {M. Sundermeyer and M. Durner and E. Y. Puang and Z.-C. Marton and N. Vaskevicius and K. O. Arras and R. Triebel}, title = {Multi-path Learning for Object Pose Estimation Across Domains}, booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2020}, } @inproceedings{wenger20nonparametric, author = {J. Wenger and H. Kjellström and R. Triebel}, title = {Non-Parametric Calibration for Classification}, booktitle = {International Conference on Artificial Intelligence and Statistics (AISTATS)}, year = {2020}, } @inproceedings{lee20visual, author = {J. Lee and R. Balachandran and Y. Sarkisov and M. D Stefano and A. Coelho and K. Shinde and M. J. Kim and R. Triebel and K. Kondak}, title = {Visual-Inertial Telepresence for Aerial Manipulation}, booktitle = {International Conference on Robotics and Automation (ICRA)}, year = {2020}, } @inproceedings{steidle19visual, author = {F. Steidle and W. Stürzl and R. Triebel}, title = {Visual-inertial sensor fusion with a bio-inspired polarization compass for navigation of MAVs}, booktitle = { 11th International Micro Air Vehicle Competition and Conference (IMAV)}, year = {2019}, keywords = {vslam}, } @inproceedings{feng19introspective, author = {J. Feng and M. Durner and Z.-C. Marton and F. Balint-Benczedi and R. Triebel}, title = {Introspective Robot Perception using Smoothed Predictions from Bayesian Neural Networks}, booktitle = {International Symposium on Robotics Research (ISRR)}, year = {2019}, } @article{giubilato20relocalization, author = {R. Giubilato and M. Vayugundla and M. Schuster and W. Stürzl and A. Wedler and R. Triebel and S. Debei}, title = {Relocalization With Submaps: Multi-Session Mapping for Planetary Rovers Equipped With Stereo Cameras}, journal = {IEEE Robotics and Automation Letters}, volume = {5}, number = {2}, pages = { 580--587}, year = {2020}, } @article{sundermeyer19augmented, author = {M. Sundermeyer and Z. Marton and M. Durner and R. Triebel}, title = {Augmented Autoencoders: Implicit 3D Orientation Learning for 6D Object Detection}, journal = {International Journal of Computer Vision}, year = {2019}, } @article{lutz20ardea, author = {P. Lutz and M. G. Müller and M. Maier and S. Stoneman and T. Tomi\´c and I. von Bargen and M. J. Schuster and F. Steidle and A. Wedler and W. Stürzl and R. Triebel}, title = {ARDEA—An MAV with skills for future planetary missions}, journal = {Journal of Field Robotics (JFR)}, year = {2020}, } @inproceedings{lee2020estimating, author = {J Lee and M Humt and J Feng and R Triebel}, title = {Estimating Model Uncertainty of Neural Networks in Sparse Information Form}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2020}, } @inproceedings{liu2020effective, title = {Effective Version Space Reduction for Convolutional Neural Networks}, author = {J Liu and I Chiotellis and R Triebel and D Cremers}, journal = {arXiv preprint arXiv:2006.12456}, year = {2020}, booktitle = {European Conference on Machine Learning and Data Mining (ECML-PKDD)}, keywords = {deep learning, active learning, convolutional neural networks}, } @inproceedings{denninger20scene, title = {{3D} Scene Reconstruction from a Single Viewport}, author = {M Denninger and R Triebel}, year = {2020}, booktitle = {European Conference on Computer Vision (ECCV)}, } @inproceedings{sewtz20robust, title = {Robust {MUSIC}-Based Sound Source Localization in Reverberant and Echoic Environments}, author = {M Sewtz and T Bodenmüller and R Triebel}, year = {2020}, booktitle = {International Conference on Intelligent Robots and Systems (IROS)}, } @inproceedings{legentil20gaussian, title = {Gaussian Process Gradient Maps for Loop-Closure Detection in Unstructured Planetary Environments}, author = {CL Gentil and M Vayugundla and R Giubilato and W Stürzl and TA. Vidal-Calleja and R Triebel}, year = {2020}, booktitle = {International Conference on Intelligent Robots and Systems (IROS)}, } @inproceedings{boerdijk2020self, author = {W Boerdijk and M Sundermeyer and M Durner and R Triebel}, title = {Self-Supervised Object-in-Gripper Segmentation from Robotic Motions}, booktitle = {Conference on Robot Learning (CoRL)}, year = {2020}, } @inproceedings{schiel2020incremental, author = {F Schiel and A Hagengruber and J Vogel and R Triebel}, title = {Incremental learning of EMG-based control commands using Gaussian Processes}, booktitle = {Conference on Robot Learning (CoRL)}, year = {2020}, } @inproceedings{stoiber2020sparse, author = {M Stoiber and M Pfanne and K Strobl and R Triebel and A Albu-Schaeffer}, title = {A Sparse Gaussian Approach to Region-Based 6DoF Object Tracking}, booktitle = {Asian Conference on Computer Vision}, year = {2020}, award = {Best Paper Award}, } @inproceedings{meyer2020robust, author = {L Meyer and K Strobl and R Triebel}, title = {Robust Vision-Based Pose Correction for a Robotic Manipulator using Active Markers}, booktitle = {17th International Symposium on Experimental Robotics (ISER)}, year = {2020}, } @inproceedings{sewtz2021icara, author = {M Sewtz and X Luo and J Landgraf and T Bodenmüller and R Triebel}, title = {Robust Approaches for Localization on Multi-camera Systems in Dynamic Environments}, booktitle = {Proceedings of the {IEEE} International Conference on Automation, Robotics and Applications({ICARA})}, year = {2021}, } @inproceedings{winkelbauer2021icra, author = {D Winkelbauer and M Denninger and R Triebel}, title = {Learning to Localize in New Environments from Synthetic Training Data}, booktitle = {Proceedings of the {IEEE} International Conference on Robotics and Automation ({ICRA})}, year = {2021}, } @inproceedings{lehner2021icra, author = {H Lehner and MJ. Schuster and T Bodenmüller and R Triebel}, title = {Exploration of Large Outdoor Environments Using Multi-Criteria Decision Making}, booktitle = {Proceedings of the {IEEE} International Conference on Robotics and Automation ({ICRA})}, year = {2021}, } @inproceedings{boerdijk2021icra, author = {W Boerdijk and M Sundermeyer and M Durner and R Triebel}, title = {"What's This?" - Learning to Segment Unknown Objects from Manipulation Sequences}, booktitle = {Proceedings of the {IEEE} International Conference on Robotics and Automation ({ICRA})}, year = {2021}, } @inproceedings{sundermeyer2021icra, author = {M Sundermeyer and A Mousavian and R Triebel and D Fox}, title = {{Contact-GraspNet}: Efficient {6-DoF} Grasp Generation in Cluttered Scenes}, booktitle = {Proceedings of the {IEEE} International Conference on Robotics and Automation ({ICRA})}, year = {2021}, } @inproceedings{ballester2021icra, author = {I Ballester and A Fontan and J Civera and KH. Strobl and R Triebel}, title = {DOT: Dynamic Object Tracking for Visual SLAM}, booktitle = {Proceedings of the {IEEE} International Conference on Robotics and Automation ({ICRA})}, year = {2021}, } @inproceedings{lyssenko21from, author = {M Lyssenko and C Gladisch and C Heinzemann and M Woehrle and R Triebel}, title = {From Evaluation to Verification: Towards Task-Oriented Relevance Metrics for Pedestrian Detection in Safety-Critical Domains}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {38-45}, } @inproceedings{wudenka2021monocular, author = {MW Wudenka and MG Müller and N Demmel and A Wedler and R Triebel and D Cremers and W Stuerzl}, title = {Towards Robust Monocular Visual Odometry for Flying Robots on Planetary Missions}, eprint = {2109.05509}, eprinttype = {arXiv}, eprintclass = {cs.RO}, booktitle = {International Conference on Intelligent Robots and Systems (IROS)}, keywords = {odometry, VO, SLAM, vslam}, year = {2021}, } @inproceedings{lee21trust, booktitle = {5th Conference on Robot Learning (CoRL)}, month = {November}, title = {Trust Your Robots! Predictive Uncertainty Estimation of Neural Networks with Sparse {G}aussian Processes}, journal = {Conference on Robot Learning (CoRL)}, author = {J Lee and J Feng and M Humt and MG Müller and R Triebel}, year = {2021}, } @inproceedings{schnaus21bayesian, author = {D Schnaus and J Lee and R Triebel}, booktitle = {Bayesian Deep Learning NeurIPS 2021 Workshop}, year = {2021}, title = {Kronecker-Factored Optimal Curvature}, keywords = {deep learning, bayesian deep learning}, } @inproceedings{liao21learning, booktitle = {International Conference on Advanced Robotics (ICAR)}, author = {HC Liao and R Giubilato and W Stürzl and R Triebel}, year = {2021}, title = {Learning-Based Matching of {3D} Submaps from Dense Stereo for Planetary-Like Environments}, } @inproceedings{giubilato21multi, booktitle = {2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)}, author = {R Giubilato and M Vayugundla and W Stürzl and M Schuster and A Wedler and R Triebel}, journal = {2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)}, title = {Multi-Modal Loop Closing in Unstructured Planetary Environments with Visually Enriched Submaps}, year = {2021}, } @inproceedings{durner21unknown, title = {Unknown Object Segmentation from Stereo Images}, year = {2021}, author = {M Durner and W Boerdijk and M Sundermeyer and W Friedl and ZC Marton and R Triebel}, booktitle = {International Conference on Intelligent Robots and Systems}, } @inproceedings{lyssenko21instance, author = {M Lyssenko and C Gladisch and C Heinzemann and M Woehrle and R Triebel}, booktitle = {2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW)}, title = {Instance Segmentation in {CARLA}: Methodology and Analysis for Pedestrian-oriented Synthetic Data Generation in Crowded Scenes}, pages = {988--996}, year = {2021}, publisher = {IEEE}, } @inproceedings{mueller21photo, title = {A Photorealistic Terrain Simulation Pipeline for Unstructured Outdoor Environments}, year = {2021}, author = {MG Müller and M Durner and A Gawel and W Stürzl and R Triebel and R Siegwart}, booktitle = {2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)}, } @inproceedings{fontan2022model, author = {AF Villacampa and LO Maza and J Civera and R Triebel}, title = {A Model for Multi-View Residual Covariances Based on Perspective Deformation}, booktitle = {International Conference on Robotics and Automation (ICRA)}, year = {2022}, } @inproceedings{aljabout2022seeking, author = {E Aljalbout and M Ulmer and R Triebel}, title = {Seeking Visual Discomfort: Curiosity-Driven Representations for Reinforcement Learning}, booktitle = {International Conference on Robotics and Automation (ICRA)}, year = {2022}, } @inproceedings{stoiber2022iterative, author = {M Stoiber and M Sundermeyer and R Triebel}, title = {Iterative Corresponding Geometry: Fusing Region and Depth for Highly Efficient 3D Tracking of Textureless Objects}, booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2022}, } @inproceedings{boerdijk2022towards, author = {W Boerdijk and M Durner and M Sundermeyer and R Triebel}, title = {Towards Robust Perception of Unknown Objects in the Wild}, booktitle = {ICRA Workshop on Robotic Perception and Mapping: Emerging Techniques}, year = {2022}, } @inproceedings{lyssenko22towards, author = {M Lyssenko and CD Gladisch and C Heinzemann and M Woehrle and R Triebel}, title = {Towards Safety-Aware Pedestrian Detection in Autonomous Systems}, booktitle = {International Conference on Intelligent Robots and Systems (IROS)}, year = {2022}, } @inproceedings{knauer22recall, author = {M Knauer and M Denninger and R Triebel}, title = {RECALL: Rehearsal-free Continual Learning for Object Classification}, booktitle = {International Conference on Intelligent Robots and Systems (IROS)}, year = {2022}, } @inproceedings{winkelbauer22two, author = {D Winkelbauer and B Bäuml and N Thuerey and R Triebel}, title = {A Two-stage Learning Architecture that Generates High-Quality Grasps for a Multi-Fingered Hand}, booktitle = {International Conference on Intelligent Robots and Systems (IROS)}, year = {2022}, } @inproceedings{feng22bayesian, author = {J Feng and J Lee and M Durner and R Triebel}, title = {Bayesian Active Learning for Sim-to-Real Robotic Perception}, booktitle = {International Conference on Intelligent Robots and Systems (IROS)}, year = {2022}, } @inproceedings{meyer22probabilistic, author = {L Meyer and KH. Strobl and R Triebel}, title = {The Probabilistic Robot Kinematics Model and its Application to Sensor Fusion}, booktitle = {International Conference on Intelligent Robots and Systems (IROS)}, year = {2022}, } @inproceedings{giubilato22challenges, author = {R Giubilato and W Stürzl and A Wedler and R Triebel}, title = {Challenges of SLAM in extremely unstructured environments: the DLR Planetary Stereo, Solid-State LiDAR, Inertial Dataset}, booktitle = {International Conference on Intelligent Robots and Systems (IROS)}, year = {2022}, } @inproceedings{schnaus2023learning, title = {Learning Expressive Priors for Generalization and Uncertainty Estimation in Neural Networks}, author = {D Schnaus and J Lee and D Cremers and R Triebel}, booktitle = {International Conference on Machine Learning}, pages = {30252--30284}, year = {2023}, organization = {PMLR}, }