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Stefan Ulbrich
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Publications
- 2022
- [c27]Lea Steffen, Tobias Weyer, Katharina Glueck, Stefan Ulbrich, Arne Roennau, Rüdiger Dillmann:
Comparing SONN Types for Efficient Robot Motion Planning in the Configuration Space. IAS 2022: 186-203 - [c26]Lea Steffen, Tobias Weyer, Stefan Ulbrich, Arne Roennau, Rüdiger Dillmann:
Reactive Neural Path Planning with Dynamic Obstacle Avoidance in a Condensed Configuration Space. IROS 2022: 8101-8108 - [i4]Lea Steffen, Tobias Weyer, Katharina Glueck, Stefan Ulbrich, Arne Roennau, Rüdiger Dillmann:
Comparing SONN Types for Efficient Robot Motion Planning in the Configuration Space. CoRR abs/2203.09914 (2022) - [i3]Lea Steffen, Tobias Weyer, Stefan Ulbrich, Arne Roennau, Rüdiger Dillmann:
Reactive Neural Path Planning with Dynamic Obstacle Avoidance in a Condensed Configuration Space. CoRR abs/2207.03959 (2022) - 2021
- [j32]Lea Steffen, M. Elfgen, Stefan Ulbrich, Arne Roennau, Rüdiger Dillmann:
A Benchmark Environment for Neuromorphic Stereo Vision. Frontiers Robotics AI 8: 647634 (2021) - 2020
- [c25]Lea Steffen, Rafael Kübler da Silva, Stefan Ulbrich, Juan Camilo Vasquez Tieck, Arne Roennau, Rüdiger Dillmann:
Networks of Place Cells for Representing 3D Environments and Path Planning. BioRob 2020: 1158-1165 - [c24]Lea Steffen, Artur Liebert, Stefan Ulbrich, Arne Roennau, Rüdiger Dillmann:
Adaptive, Neural Robot Control - Path Planning on 3D Spiking Neural Networks. ICANN (2) 2020: 509-520 - 2019
- [c23]Lea Steffen, Benedict Hauck, Jacques Kaiser, Jakob Weinland, Stefan Ulbrich, Daniel Reichard, Arne Roennau, Rüdiger Dillmann:
Creating an Obstacle Memory Through Event-Based Stereo Vision and Robotic Proprioception. CASE 2019: 1829-1836 - [c22]Lea Steffen, Stefan Ulbrich, Arne Roennau, Rüdiger Dillmann:
Multi-View 3D Reconstruction with Self-Organizing Maps on Event-Based Data. ICAR 2019: 501-508 - 2018
- [c21]Marc Rene Zofka, Stefan Ulbrich, Daniel Karl, Tobias Fleck, Ralf Kohlhaas, Arne Roennau, Rüdiger Dillmann, J. Marius Zöllner:
Traffic Participants in the Loop: A Mixed Reality-Based Interaction Testbed for the Verification and Validation of Autonomous Vehicles. ITSC 2018: 3583-3590 - 2017
- [j22]Egidio Falotico, Lorenzo Vannucci, Alessandro Ambrosano, Ugo Albanese, Stefan Ulbrich, Juan Camilo Vasquez Tieck, Georg Hinkel, Jacques Kaiser, Igor Peric, Oliver Denninger, Nino Cauli, Murat Kirtay, Arne Roennau, Gudrun Klinker, Axel von Arnim, Luc Guyot, Daniel Peppicelli, Pablo Martínez-Cañada, Eduardo Ros, Patrick Maier, Sandro Weber, Manuel Hubert, David A. Plecher, Florian Röhrbein, Stefan Deser, Alina Roitberg, Patrick van der Smagt, Rüdiger Dillmann, Paul Levi, Cecilia Laschi, Alois C. Knoll, Marc-Oliver Gewaltig:
Connecting Artificial Brains to Robots in a Comprehensive Simulation Framework: The Neurorobotics Platform. Frontiers Neurorobotics 11: 2 (2017) - [j21]Georg Hinkel, Henning Groenda, Sebastian Krach, Lorenzo Vannucci, Oliver Denninger, Nino Cauli, Stefan Ulbrich, Arne Roennau, Egidio Falotico, Marc-Oliver Gewaltig, Alois C. Knoll, Rüdiger Dillmann, Cecilia Laschi, Ralf H. Reussner:
A Framework for Coupled Simulations of Robots and Spiking Neuronal Networks. J. Intell. Robotic Syst. 85(1): 71-91 (2017) - [c20]Stefan Ulbrich, Terrence Steward, Igor Peric, Arne Roennau, Johann Marius Zöllner, Rüdiger Dillmann:
Model-based polynomial function approximation with spiking neural networks. IEEE ICCI*CC 2017: 22-27 - [c19]Igor Peric, Felix Schneider, Cameron H. Price, Stefan Ulbrich, Arne Roennau, Marius Zöllner, Rüdiger Dillmann:
Exact spike timing computational model of convolutional associative memories. IEEE ICCI*CC 2017: 182-190 - [c18]Jacques Kaiser, David Zimmerer, Juan Camilo Vasquez Tieck, Stefan Ulbrich, Arne Roennau, Rüdiger Dillmann:
Spiking Convolutional Deep Belief Networks. ICANN (2) 2017: 3-11 - [c17]Juan Camilo Vasquez Tieck, Heiko Donat, Jacques Kaiser, Igor Peric, Stefan Ulbrich, Arne Roennau, Johann Marius Zöllner, Rüdiger Dillmann:
Towards Grasping with Spiking Neural Networks for Anthropomorphic Robot Hands. ICANN (1) 2017: 43-51 - [c15]Igor Peric, Alexandru Lesi, Daniel Spies, Stefan Ulbrich, Arne Roennau, Marius Zöllner, Rüdiger Dillmann:
Probabilistic Symbol Encoding for Convolutional Associative Memories. NEUROTECHNIX 2017: 22-29 - [c14]Igor Peric, Robert Hangu, Jacques Kaiser, Stefan Ulbrich, Arne Roennau, Johann Marius Zöllner, Rüdiger Dillmann:
Semi-Supervised Spiking Neural Network for One-Shot Object Appearance Learning. NEUROTECHNIX 2017: 47-53 - 2015
- [c11]Lorenzo Vannucci, Alessandro Ambrosano, Nino Cauli, Ugo Albanese, Egidio Falotico, Stefan Ulbrich, Lars Pfotzer, Georg Hinkel, Oliver Denninger, Daniel Peppicelli, Luc Guyot, Axel von Arnim, Stefan Deser, Patrick Maier, Rüdiger Dillmann, Gudrun Klinker, Paul Levi, Alois C. Knoll, Marc-Oliver Gewaltig, Cecilia Laschi:
A visual tracking model implemented on the iCub robot as a use case for a novel neurorobotic toolkit integrating brain and physics simulation. Humanoids 2015: 1179-1184 - 2012
- [j13]Stefan Ulbrich, Vicente Ruiz de Angulo, Tamim Asfour, Carme Torras, Rüdiger Dillmann:
General Robot Kinematics Decomposition Without Intermediate Markers. IEEE Trans. Neural Networks Learn. Syst. 23(4): 620-630 (2012) - [j12]Stefan Ulbrich, Vicente Ruiz de Angulo, Tamim Asfour, Carme Torras, Rüdiger Dillmann:
Kinematic Bézier Maps. IEEE Trans. Syst. Man Cybern. Part B 42(4): 1215-1230 (2012) - [c7]Nikolaus Vahrenkamp, Manfred Kröhnert, Stefan Ulbrich, Tamim Asfour, Giorgio Metta, Rüdiger Dillmann, Giulio Sandini:
Simox: A Robotics Toolbox for Simulation, Motion and Grasp Planning. IAS (1) 2012: 585-594 - [c6]Stefan Ulbrich, Michael Garrett Bechtel, Tamim Asfour, Rüdiger Dillmann:
Learning robot dynamics with Kinematic Bézier Maps. IROS 2012: 3598-3604 - 2011
- [c5]Stefan Ulbrich, Daniel Kappler, Tamim Asfour, Nikolaus Vahrenkamp, Alexander Bierbaum, Markus Przybylski, Rüdiger Dillmann:
The OpenGRASP benchmarking suite: An environment for the comparative analysis of grasping and dexterous manipulation. IROS 2011: 1761-1767 - 2009
- [c2]Stefan Ulbrich, Vicente Ruiz de Angulo, Tamim Asfour, Carme Torras, Rüdiger Dillmann:
Rapid learning of humanoid body schemas with Kinematic Bézier Maps. Humanoids 2009: 431-438
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last updated on 2023-09-27 22:45 CEST by the dblp team
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