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ORCIDJörg Stückler
Joerg Stueckler
Person information
- affiliation: RWTH Aachen University, Visual Computing Institute, Germany
- affiliation: TU Munich, Department of Computer Science, Germany
- affiliation: University of Bonn, Institute for Computer Science, Germany
- affiliation: University of Freiburg, Department of Computer Science, Germany
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2020 – today
- 2024
[j16]Yuxuan Xue
, Haolong Li, Stefan Leutenegger, Jörg Stückler:
Event-Based Non-rigid Reconstruction of Low-Rank Parametrized Deformations from Contours. Int. J. Comput. Vis. 132(8): 2943-2961 (2024)- [c89]Rama Krishna Kandukuri, Michael Strecke, Joerg Stueckler:
Physics-Based Rigid Body Object Tracking and Friction Filtering From RGB-D Videos. 3DV 2024: 1259-1269 - [c88]Haolong Li, Joerg Stueckler:
Online Calibration of a Single-Track Ground Vehicle Dynamics Model by Tight Fusion with Visual-Inertial Odometry. ICRA 2024: 1631-1637 - [i35]Markus Krimmel, Jan Achterhold, Joerg Stueckler:
Attention Normalization Impacts Cardinality Generalization in Slot Attention. CoRR abs/2407.04170 (2024) - [i34]Jan Achterhold, Suresh Guttikonda, Jens U. Kreber, Haolong Li, Joerg Stueckler:
Learning a Terrain- and Robot-Aware Dynamics Model for Autonomous Mobile Robot Navigation. CoRR abs/2409.11452 (2024) - [i33]Fabian Baumeister, Lukas Mack, Joerg Stueckler:
Incremental Few-Shot Adaptation for Non-Prehensile Object Manipulation using Parallelizable Physics Simulators. CoRR abs/2409.13228 (2024) - 2023
- [c87]Suresh Guttikonda, Jan Achterhold, Haolong Li, Joschka Boedecker, Joerg Stueckler:
Context-Conditional Navigation with a Learning-Based Terrain- and Robot-Aware Dynamics Model. ECMR 2023: 1-7 - [c86]Cathrin Elich, Iro Armeni, Martin R. Oswald, Marc Pollefeys, Joerg Stueckler:
Learning-based Relational Object Matching Across Views. ICRA 2023: 5999-6005 - [c85]Victor Dhédin, Haolong Li, Shahram Khorshidi, Lukas Mack, Adithya Kumar Chinnakkonda Ravi, Avadesh Meduri, Paarth Shah, Felix Grimminger, Ludovic Righetti, Majid Khadiv, Joerg Stueckler:
Visual-Inertial and Leg Odometry Fusion for Dynamic Locomotion. ICRA 2023: 9966-9972 - [c84]Jan Achterhold, Philip Tobuschat, Hao Ma, Dieter Büchler, Michael Muehlebach, Joerg Stueckler:
Black-Box vs. Gray-Box: A Case Study on Learning Table Tennis Ball Trajectory Prediction with Spin and Impacts. L4DC 2023: 878-890 - [i32]Cathrin Elich, Iro Armeni, Martin R. Oswald, Marc Pollefeys, Joerg Stueckler:
Learning-based Relational Object Matching Across Views. CoRR abs/2305.02398 (2023) - [i31]Jan Achterhold, Philip Tobuschat, Hao Ma, Dieter Büchler, Michael Muehlebach, Joerg Stueckler:
Black-Box vs. Gray-Box: A Case Study on Learning Table Tennis Ball Trajectory Prediction with Spin and Impacts. CoRR abs/2305.15189 (2023) - [i30]Suresh Guttikonda, Jan Achterhold, Haolong Li, Joschka Boedecker, Joerg Stueckler:
Context-Conditional Navigation with a Learning-Based Terrain- and Robot-Aware Dynamics Model. CoRR abs/2307.09206 (2023) - [i29]Haolong Li, Joerg Stueckler:
Online Calibration of a Single-Track Ground Vehicle Dynamics Model by Tight Fusion with Visual-Inertial Odometry. CoRR abs/2309.11148 (2023) - [i28]Rama Krishna Kandukuri, Michael Strecke, Joerg Stueckler:
Physics-Based Rigid Body Object Tracking and Friction Filtering From RGB-D Videos. CoRR abs/2309.15703 (2023) - 2022
- [j15]Cathrin Elich, Martin R. Oswald, Marc Pollefeys, Joerg Stueckler:
Weakly supervised learning of multi-object 3D scene decompositions using deep shape priors. Comput. Vis. Image Underst. 220: 103440 (2022) - [j14]Rama Krishna Kandukuri, Jan Achterhold, Michael Möller, Joerg Stueckler:
Physical Representation Learning and Parameter Identification from Video Using Differentiable Physics. Int. J. Comput. Vis. 130(1): 3-16 (2022) - [j13]Haolong Li, Joerg Stueckler:
Visual-Inertial Odometry With Online Calibration of Velocity-Control Based Kinematic Motion Models. IEEE Robotics Autom. Lett. 7(3): 6415-6422 (2022) - [c83]Yuxuan Xue, Haolong Li, Stefan Leutenegger, Joerg Stueckler:
Event-based Non-Rigid Reconstruction from Contours. BMVC 2022: 78 - [c82]Jan Achterhold, Markus Krimmel, Joerg Stueckler:
Learning Temporally Extended Skills in Continuous Domains as Symbolic Actions for Planning. CoRL 2022: 225-236 - [i27]Haolong Li, Joerg Stueckler:
Observability Analysis of Visual-Inertial Odometry with Online Calibration of Velocity-Control Based Kinematic Motion Models. CoRR abs/2204.06651 (2022) - [i26]Haolong Li, Joerg Stueckler:
Visual-Inertial Odometry with Online Calibration of Velocity-Control Based Kinematic Motion Models. CoRR abs/2204.06776 (2022) - [i25]Jan Achterhold, Markus Krimmel, Joerg Stueckler:
Learning Temporally Extended Skills in Continuous Domains as Symbolic Actions for Planning. CoRR abs/2207.05018 (2022) - [i24]Victor Dhédin, Haolong Li, Shahram Khorshidi, Lukas Mack, Adithya Kumar Chinnakkonda Ravi, Avadesh Meduri, Paarth Shah, Felix Grimminger, Ludovic Righetti, Majid Khadiv, Joerg Stueckler:
Visual-Inertial and Leg Odometry Fusion for Dynamic Locomotion. CoRR abs/2210.02127 (2022) - [i23]Yuxuan Xue, Haolong Li, Stefan Leutenegger, Jörg Stückler:
Event-based Non-Rigid Reconstruction from Contours. CoRR abs/2210.06270 (2022) - 2021
- [c81]Michael Strecke, Joerg Stueckler:
DiffSDFSim: Differentiable Rigid-Body Dynamics With Implicit Shapes. 3DV 2021: 96-105 - [c80]Jan Achterhold, Joerg Stueckler:
Explore the Context: Optimal Data Collection for Context-Conditional Dynamics Models. AISTATS 2021: 3529-3537 - [c79]Haolong Li, Joerg Stueckler:
Tracking 6-DoF Object Motion from Events and Frames. ICRA 2021: 14171-14177 - [i22]Jan Achterhold, Joerg Stueckler:
Explore the Context: Optimal Data Collection for Context-Conditional Dynamics Models. CoRR abs/2102.11394 (2021) - [i21]Haolong Li, Joerg Stueckler:
Tracking 6-DoF Object Motion from Events and Frames. CoRR abs/2103.15568 (2021) - [i20]Michael Strecke, Jörg Stückler:
DiffSDFSim: Differentiable Rigid-Body Dynamics With Implicit Shapes. CoRR abs/2111.15318 (2021) - 2020
- [j12]Vladyslav Usenko, Nikolaus Demmel, David Schubert, Jörg Stückler, Daniel Cremers:
Visual-Inertial Mapping With Non-Linear Factor Recovery. IEEE Robotics Autom. Lett. 5(2): 422-429 (2020) - [c78]Arijit Mallick, Jörg Stückler, Hendrik P. A. Lensch:
Learning to Adapt Multi-View Stereo by Self-Supervision. BMVC 2020 - [c77]Cristina Pinneri, Shambhuraj Sawant, Sebastian Blaes, Jan Achterhold, Joerg Stueckler, Michal Rolínek, Georg Martius:
Sample-efficient Cross-Entropy Method for Real-time Planning. CoRL 2020: 1049-1065 - [c76]Michael Strecke, Joerg Stueckler:
Where Does It End? - Reasoning About Hidden Surfaces by Object Intersection Constraints. CVPR 2020: 9589-9597 - [c75]Rama Krishna Kandukuri, Jan Achterhold, Michael Möller, Joerg Stueckler:
Learning to Identify Physical Parameters from Video Using Differentiable Physics. GCPR 2020: 44-57 - [c74]Rui Wang, Nan Yang, Jörg Stückler, Daniel Cremers:
DirectShape: Direct Photometric Alignment of Shape Priors for Visual Vehicle Pose and Shape Estimation. ICRA 2020: 11067-11073 - [c73]Nathanael Bosch, Jan Achterhold, Laura Leal-Taixé, Jörg Stückler:
Planning from Images with Deep Latent Gaussian Process Dynamics. L4DC 2020: 640-650 - [p2]Vladyslav Usenko, Lukas von Stumberg, Jörg Stückler, Daniel Cremers:
TUM Flyers: Vision - Based MAV Navigation for Systematic Inspection of Structures. EuRoC 2020: 189-209 - [e1]Jens H. Krüger, Matthias Nießner, Jörg Stückler:
25th International Symposium on Vision, Modeling and Visualization, VMV 2020, Tübingen, Germany, September 28 - October 1, 2020. Eurographics Association 2020, ISBN 978-3-03868-123-6 [contents] - [i19]Michael Strecke, Jörg Stückler:
Where Does It End? - Reasoning About Hidden Surfaces by Object Intersection Constraints. CoRR abs/2004.04630 (2020) - [i18]Francis Engelmann, Jörg Stückler, Bastian Leibe:
SAMP: Shape and Motion Priors for 4D Vehicle Reconstruction. CoRR abs/2005.00922 (2020) - [i17]Nathanael Bosch, Jan Achterhold, Laura Leal-Taixé, Jörg Stückler:
Planning from Images with Deep Latent Gaussian Process Dynamics. CoRR abs/2005.03770 (2020) - [i16]Cristina Pinneri, Shambhuraj Sawant, Sebastian Blaes, Jan Achterhold, Jörg Stückler, Michal Rolínek, Georg Martius:
Sample-efficient Cross-Entropy Method for Real-time Planning. CoRR abs/2008.06389 (2020) - [i15]Rama Krishna Kandukuri, Jan Achterhold, Michael Möller, Jörg Stückler:
Learning to Identify Physical Parameters from Video Using Differentiable Physics. CoRR abs/2009.08292 (2020) - [i14]Arijit Mallick, Jörg Stückler, Hendrik P. A. Lensch:
Learning to Adapt Multi-View Stereo by Self-Supervision. CoRR abs/2009.13278 (2020) - [i13]Cathrin Elich, Martin R. Oswald, Marc Pollefeys, Jörg Stückler:
Semi-Supervised Learning of Multi-Object 3D Scene Representations. CoRR abs/2010.04030 (2020)
2010 – 2019
- 2019
- [c72]Deyao Zhu, Marco Munderloh, Bodo Rosenhahn, Jörg Stückler:
Learning to Disentangle Latent Physical Factors for Video Prediction. GCPR 2019: 595-608 - [c71]Michael Strecke, Jörg Stückler:
EM-Fusion: Dynamic Object-Level SLAM With Probabilistic Data Association. ICCV 2019: 5864-5873 - [i12]Vladyslav Usenko, Nikolaus Demmel, David Schubert, Jörg Stückler, Daniel Cremers:
Visual-Inertial Mapping with Non-Linear Factor Recovery. CoRR abs/1904.06504 (2019) - [i11]Rui Wang, Nan Yang, Jörg Stückler, Daniel Cremers:
DirectShape: Photometric Alignment of Shape Priors for Visual Vehicle Pose and Shape Estimation. CoRR abs/1904.10097 (2019) - [i10]Michael Strecke, Jörg Stückler:
EM-Fusion: Dynamic Object-Level SLAM with Probabilistic Data Association. CoRR abs/1904.11781 (2019) - 2018
- [j11]Hidenobu Matsuki, Lukas von Stumberg, Vladyslav Usenko, Jörg Stückler, Daniel Cremers:
Omnidirectional DSO: Direct Sparse Odometry With Fisheye Cameras. IEEE Robotics Autom. Lett. 3(4): 3693-3700 (2018) - [c70]David Schubert, Nikolaus Demmel, Vladyslav Usenko, Jörg Stückler, Daniel Cremers:
Direct Sparse Odometry with Rolling Shutter. ECCV (8) 2018: 699-714 - [c69]Nan Yang, Rui Wang, Jörg Stückler, Daniel Cremers:
Deep Virtual Stereo Odometry: Leveraging Deep Depth Prediction for Monocular Direct Sparse Odometry. ECCV (8) 2018: 835-852 - [c68]David Schubert, Thore Goll, Nikolaus Demmel, Vladyslav Usenko, Jörg Stückler, Daniel Cremers:
The TUM VI Benchmark for Evaluating Visual-Inertial Odometry. IROS 2018: 1680-1687 - [i9]David Schubert, Thore Goll, Nikolaus Demmel, Vladyslav Usenko, Jörg Stückler, Daniel Cremers:
The TUM VI Benchmark for Evaluating Visual-Inertial Odometry. CoRR abs/1804.06120 (2018) - [i8]Nan Yang, Rui Wang, Jörg Stückler, Daniel Cremers:
Deep Virtual Stereo Odometry: Leveraging Deep Depth Prediction for Monocular Direct Sparse Odometry. CoRR abs/1807.02570 (2018) - [i7]David Schubert, Nikolaus Demmel, Vladyslav Usenko, Jörg Stückler, Daniel Cremers:
Direct Sparse Odometry with Rolling Shutter. CoRR abs/1808.00558 (2018) - [i6]Lingni Ma, Jörg Stückler, Tao Wu, Daniel Cremers:
Detailed Dense Inference with Convolutional Neural Networks via Discrete Wavelet Transform. CoRR abs/1808.01834 (2018) - [i5]Hidenobu Matsuki, Lukas von Stumberg, Vladyslav Usenko, Jörg Stückler, Daniel Cremers:
Omnidirectional DSO: Direct Sparse Odometry with Fisheye Cameras. CoRR abs/1808.02775 (2018) - 2017
- [c67]Yevhen Kuznietsov, Jörg Stückler, Bastian Leibe:
Semi-Supervised Deep Learning for Monocular Depth Map Prediction. CVPR 2017: 2215-2223 - [c66]Lukas von Stumberg, Vladyslav Usenko, Jakob Engel, Jörg Stückler, Daniel Cremers:
From monocular SLAM to autonomous drone exploration. ECMR 2017: 1-8 - [c65]Lingni Ma, Jörg Stückler, Christian Kerl, Daniel Cremers:
Multi-view deep learning for consistent semantic mapping with RGB-D cameras. IROS 2017: 598-605 - [c64]Anton Kasyanov, Francis Engelmann, Jörg Stückler, Bastian Leibe:
Keyframe-based visual-inertial online SLAM with relocalization. IROS 2017: 6662-6669 - [c63]Francis Engelmann, Jörg Stückler, Bastian Leibe:
SAMP: Shape and Motion Priors for 4D Vehicle Reconstruction. WACV 2017: 400-408 - [i4]Anton Kasyanov, Francis Engelmann, Jörg Stückler, Bastian Leibe:
Keyframe-Based Visual-Inertial Online SLAM with Relocalization. CoRR abs/1702.02175 (2017) - [i3]Yevhen Kuznietsov, Jörg Stückler, Bastian Leibe:
Semi-Supervised Deep Learning for Monocular Depth Map Prediction. CoRR abs/1702.02706 (2017) - [i2]Lingni Ma, Jörg Stückler, Christian Kerl, Daniel Cremers:
Multi-View Deep Learning for Consistent Semantic Mapping with RGB-D Cameras. CoRR abs/1703.08866 (2017) - 2016
- [j10]Jörg Stückler, Max Schwarz, Sven Behnke:
Mobile Manipulation, Tool Use, and Intuitive Interaction for Cognitive Service Robot Cosero. Frontiers Robotics AI 3: 58 (2016) - [j9]Jörg Stückler, Max Schwarz, Mark Schadler, Angeliki Topalidou-Kyniazopoulou, Sven Behnke:
NimbRo Explorer: Semiautonomous Exploration and Mobile Manipulation in Rough Terrain. J. Field Robotics 33(4): 411-430 (2016) - [j8]David Droeschel, Matthias Nieuwenhuisen, Marius Beul, Dirk Holz, Jörg Stückler, Sven Behnke:
Multilayered Mapping and Navigation for Autonomous Micro Aerial Vehicles. J. Field Robotics 33(4): 451-475 (2016) - [c62]Dirk Klostermann, Aljosa Osep, Jörg Stückler, Bastian Leibe:
Unsupervised Learning of Shape-Motion Patterns for Objects in Urban Street Scenes. BMVC 2016 - [c61]Francis Engelmann, Jörg Stückler, Bastian Leibe:
Joint Object Pose Estimation and Shape Reconstruction in Urban Street Scenes Using 3D Shape Priors. GCPR 2016: 219-230 - [c60]Lingni Ma, Christian Kerl, Jörg Stückler, Daniel Cremers:
CPA-SLAM: Consistent plane-model alignment for direct RGB-D SLAM. ICRA 2016: 1285-1291 - [c59]Vladyslav Usenko, Jakob Engel, Jörg Stückler, Daniel Cremers:
Direct visual-inertial odometry with stereo cameras. ICRA 2016: 1885-1892 - [c58]Deyvid Kochanov, Aljosa Osep, Jörg Stückler, Bastian Leibe:
Scene flow propagation for semantic mapping and object discovery in dynamic street scenes. IROS 2016: 1785-1792 - [i1]Lukas von Stumberg, Vladyslav Usenko, Jakob Engel, Jörg Stückler, Daniel Cremers:
Autonomous Exploration with a Low-Cost Quadrocopter using Semi-Dense Monocular SLAM. CoRR abs/1609.07835 (2016) - 2015
- [j7]Jörg Stückler, Sven Behnke:
Efficient Dense Rigid-Body Motion Segmentation and Estimation in RGB-D Video. Int. J. Comput. Vis. 113(3): 233-245 (2015) - [j6]Jörg Stückler, Benedikt Waldvogel, Hannes Schulz, Sven Behnke:
Dense real-time mapping of object-class semantics from RGB-D video. J. Real Time Image Process. 10(4): 599-609 (2015) - [j5]Jörg Stückler, Sven Behnke:
Corrigendum to "Multi-resolution surfel maps for efficient dense 3D modeling and tracking" [J. Visual Communication and Image Representation 25 (1) (2014) 137-147]. J. Vis. Commun. Image Represent. 26: 349 (2015) - [c57]Mariano Jaimez, Mohamed Souiai, Jörg Stückler, Javier González Jiménez, Daniel Cremers:
Motion Cooperation: Smooth Piece-wise Rigid Scene Flow from RGB-D Images. 3DV 2015: 64-72 - [c56]Robert Maier, Jörg Stückler, Daniel Cremers:
Super-resolution Keyframe Fusion for 3D Modeling with High-Quality Textures. 3DV 2015: 536-544 - [c55]Vladyslav Usenko, Jakob Engel, Jörg Stückler, Daniel Cremers:
Reconstructing Street-Scenes in Real-Time from a Driving Car. 3DV 2015: 607-614 - [c54]Christian Kerl, Jörg Stückler, Daniel Cremers:
Dense Continuous-Time Tracking and Mapping with Rolling Shutter RGB-D Cameras. ICCV 2015: 2264-2272 - [c53]Dirk Holz, Angeliki Topalidou-Kyniazopoulou, Jörg Stückler, Sven Behnke:
Real-time object detection, localization and verification for fast robotic depalletizing. IROS 2015: 1459-1466 - [c52]Jakob Engel, Jörg Stückler, Daniel Cremers:
Large-scale direct SLAM with stereo cameras. IROS 2015: 1935-1942 - 2014
- [b1]Jörg Stückler:
Efficient Dense Registration, Segmentation, and Modeling Methods for RGB-D Environment Perception. University of Bonn, 2014 - [j4]Jörg Stückler, Sven Behnke:
Multi-resolution surfel maps for efficient dense 3D modeling and tracking. J. Vis. Commun. Image Represent. 25(1): 137-147 (2014) - [j3]Mark Schadler, Jörg Stückler, Sven Behnke:
Rough Terrain 3D Mapping and Navigation Using a Continuously Rotating 2D Laser Scanner. Künstliche Intell. 28(2): 93-99 (2014) - [c51]Max Schwarz, Jörg Stückler, Sven Behnke:
Mobile teleoperation interfaces with adjustable autonomy for personal service robots. HRI 2014: 288-289 - [c50]Jörg Stückler, Sven Behnke:
Adaptive tool-use strategies for anthropomorphic service robots. Humanoids 2014: 755-760 - [c49]David Droeschel, Jörg Stückler, Sven Behnke:
Local Multi-resolution Surfel Grids for MAV Motion Estimation and 3D Mapping. IAS 2014: 429-442 - [c48]Jörg Stückler, Sven Behnke:
Efficient deformable registration of multi-resolution surfel maps for object manipulation skill transfer. ICRA 2014: 994-1001 - [c47]David Droeschel, Jörg Stückler, Sven Behnke:
Local multi-resolution representation for 6D motion estimation and mapping with a continuously rotating 3D laser scanner. ICRA 2014: 5221-5226 - [c46]David Schwarz, Max Schwarz, Jörg Stückler, Sven Behnke:
Cosero, Find My Keys! Object Localization and Retrieval Using Bluetooth Low Energy Tags. RoboCup 2014: 195-206 - [p1]Dirk Holz, Matthias Nieuwenhuisen, David Droeschel, Jörg Stückler, Alexander Berner, Jun Li, Reinhard Klein, Sven Behnke:
Active Recognition and Manipulation for Mobile Robot Bin Picking. Technology Transfer Experiments from the ECHORD Project 2014: 133-153 - 2013
- [j2]Jörg Stückler, Ricarda Steffens, Dirk Holz, Sven Behnke:
Efficient 3D object perception and grasp planning for mobile manipulation in domestic environments. Robotics Auton. Syst. 61(10): 1106-1115 (2013) - [c45]Jörg Stückler, Sven Behnke:
Efficient Dense 3D Rigid-Body Motion Segmentation in RGB-D Video. BMVC 2013 - [c44]Manus McElhone, Jörg Stückler, Sven Behnke:
Joint detection and pose tracking of multi-resolution surfel models in RGB-D. ECMR 2013: 131-137 - [c43]Torsten Fiolka, Jörg Stückler, Dominik Alexander Klein, Dirk Schulz, Sven Behnke:
Distinctive 3D surface entropy features for place recognition. ECMR 2013: 204-209 - [c42]Alexander Berner, Jun Li, Dirk Holz, Jörg Stückler, Sven Behnke, Reinhard Klein:
Combining contour and shape primitives for object detection and pose estimation of prefabricated parts. ICIP 2013: 3326-3330 - [c41]Matthias Nieuwenhuisen, David Droeschel, Dirk Holz, Jörg Stückler, Alexander Berner, Jun Li, Reinhard Klein, Sven Behnke:
Mobile bin picking with an anthropomorphic service robot. ICRA 2013: 2327-2334 - [c40]Jörg Stückler, Sven Behnke:
Hierarchical Object Discovery and Dense Modelling From Motion Cues in RGB-D Video. IJCAI 2013: 2502-2509 - [c39]Jörg Stückler, David Droeschel, Kathrin Gräve, Dirk Holz, Michael Schreiber, Angeliki Topalidou-Kyniazopoulou, Max Schwarz, Sven Behnke:
Increasing Flexibility of Mobile Manipulation and Intuitive Human-Robot Interaction in RoboCup@Home. RoboCup 2013: 135-146 - [c38]Mark Schadler, Jörg Stückler, Sven Behnke:
Multi-resolution surfel mapping and real-time pose tracking using a continuously rotating 2D laser scanner. SSRR 2013: 1-6 - 2012
- [c37]Jörg Stückler, Sven Behnke:
Model Learning and Real-Time Tracking Using Multi-Resolution Surfel Maps. AAAI 2012: 2081-2087 - [c36]Jörg Stückler, Sven Behnke:
Benchmarking mobile manipulation in everyday environments. ARSO 2012: 1-6 - [c35]Germán Martín García, Dominik Alexander Klein, Jörg Stückler, Simone Frintrop, Armin B. Cremers:
Adaptive Multi-cue 3D Tracking of Arbitrary Objects. DAGM/OAGM Symposium 2012: 357-366 - [c34]Uwe Hubert, Jörg Stückler, Sven Behnke:
Bayesian calibration of the hand-eye kinematics of an anthropomorphic robot. Humanoids 2012: 618-624 - [c33]Jörg Stückler, Nenad Biresev, Sven Behnke:
Semantic mapping using object-class segmentation of RGB-D images. IROS 2012: 3005-3010 - [c32]Jörg Stückler, Sven Behnke:
Integrating depth and color cues for dense multi-resolution scene mapping using RGB-D cameras. MFI 2012: 162-167 - [c31]Sebastian Muszynski, Jörg Stückler, Sven Behnke:
Adjustable autonomy for mobile teleoperation of personal service robots. RO-MAN 2012: 933-940 - [c30]Jörg Stückler, Ishrat Badami, David Droeschel, Kathrin Gräve, Dirk Holz, Manus McElhone, Matthias Nieuwenhuisen, Michael Schreiber, Max Schwarz, Sven Behnke:
NimbRo@Home: Winning Team of the RoboCup@Home Competition 2012. RoboCup 2012: 94-105 - [c29]Jochen Kläß, Jörg Stückler, Sven Behnke:
Efficient Mobile Robot Navigation using 3D Surfel Grid Maps. ROBOTIK 2