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ORCIDFlorian Röhrbein
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- affiliation: TU Munich, Department of Informatics, Germany
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2020 – today
- 2024
[j19]Florian Röhrbein, Hang Su, Poramate Manoonpong:
Editorial: Horizons in neurorobotics 2022. Frontiers Neurorobotics 18 (2024)- [c27]Sanqing Qu, Tianpei Zou, Lianghua He, Florian Röhrbein, Alois Knoll, Guang Chen, Changjun Jiang:
LEAD: Learning Decomposition for Source-free Universal Domain Adaptation. CVPR 2024: 23334-23343 - [c26]Patrick Stricker, Florian Röhrbein, Andreas Knoblauch:
Weight Perturbation and Competitive Hebbian Plasticity for Training Sparse Excitatory Neural Networks. IJCNN 2024: 1-8 - [c25]Sascha Kaden, Lucas Schwarz, Florian Röhrbein:
A Research Platform for Human-Robot-Interaction with Focus on Collaborative Assembly Scenarios. RO-MAN 2024: 1436-1442 - [i7]Haotian Liu, Sanqing Qu, Fan Lu, Zongtao Bu, Florian Röhrbein, Alois Knoll, Guang Chen:
PCDepth: Pattern-based Complementary Learning for Monocular Depth Estimation by Best of Both Worlds. CoRR abs/2402.18925 (2024) - [i6]Sanqing Qu, Tianpei Zou, Lianghua He, Florian Röhrbein, Alois Knoll, Guang Chen, Changjun Jiang:
LEAD: Learning Decomposition for Source-free Universal Domain Adaptation. CoRR abs/2403.03421 (2024) - [i5]Sanqing Qu, Tianpei Zou, Florian Röhrbein, Cewu Lu, Guang Chen, Dacheng Tao, Changjun Jiang:
GLC++: Source-Free Universal Domain Adaptation through Global-Local Clustering and Contrastive Affinity Learning. CoRR abs/2403.14410 (2024) - [i4]Ruiqi Zhang, Jing Hou, Florian Walter, Shangding Gu, Jiayi Guan, Florian Röhrbein, Yali Du, Panpan Cai, Guang Chen, Alois Knoll:
Multi-Agent Reinforcement Learning for Autonomous Driving: A Survey. CoRR abs/2408.09675 (2024) - 2023
- [j18]Matthias Kohler, Florian Röhrbein
, Alois Knoll, Alin Albu-Schäffer, Henrik Jörntell:
The Bcm rule allows a spinal cord model to learn rhythmic movements. Biol. Cybern. 117(4): 275-284 (2023) - [j17]Florian Röhrbein, Mario Senden:
Editorial: The embodied brain: computational mechanisms of integrated sensorimotor interactions with a dynamic environment, volume II. Frontiers Comput. Neurosci. 17 (2023) - [c24]Sanqing Qu, Tianpei Zou, Florian Röhrbein, Cewu Lu, Guang Chen, Dacheng Tao, Changjun Jiang:
Upcycling Models Under Domain and Category Shift. CVPR 2023: 20019-20028 - [i3]Sanqing Qu, Tianpei Zou, Florian Röhrbein, Cewu Lu, Guang Chen, Dacheng Tao, Changjun Jiang:
Upcycling Models under Domain and Category Shift. CoRR abs/2303.07110 (2023) - 2022
- [j16]Benedikt Feldotto, Heiko Lengenfelder, Florian Röhrbein, Alois C. Knoll:
Network Layer Analysis for a RL-Based Robotic Reaching Task. Frontiers Robotics AI 9 (2022) - 2021
- [c23]Ahmad Kheirandish Gharehbagh, Raja Judeh, Jude Ng, Christian von Reventlow, Florian Röhrbein:
Real-time 3D Semantic Mapping based on Keyframes and Octomap for Autonomous Cobot. ICCMA 2021: 33-38 - 2020
- [j15]Mario Senden, Judith C. Peters, Florian Röhrbein, Gustavo Deco, Rainer Goebel:
Editorial: The Embodied Brain: Computational Mechanisms of Integrated Sensorimotor Interactions With a Dynamic Environment. Frontiers Comput. Neurosci. 14: 53 (2020) - [j14]Elie Aljalbout, Florian Walter, Florian Röhrbein, Alois C. Knoll:
Task-Independent Spiking Central Pattern Generator: A Learning-Based Approach. Neural Process. Lett. 51(3): 2751-2764 (2020) - [j13]Guang Chen, Hu Cao, Jörg Conradt, Huajin Tang, Florian Röhrbein, Alois C. Knoll:
Event-Based Neuromorphic Vision for Autonomous Driving: A Paradigm Shift for Bio-Inspired Visual Sensing and Perception. IEEE Signal Process. Mag. 37(4): 34-49 (2020) - [i2]Elie Aljalbout, Florian Walter, Florian Röhrbein, Alois C. Knoll:
Task-Independent Spiking Central Pattern Generator: A Learning-Based Approach. CoRR abs/2003.07477 (2020)
2010 – 2019
- 2019
- [j12]Guang Chen, Hu Cao, Canbo Ye, Zhenyan Zhang, Xingbo Liu, Xuhui Mo, Zhongnan Qu, Jörg Conradt, Florian Röhrbein, Alois C. Knoll:
Multi-Cue Event Information Fusion for Pedestrian Detection With Neuromorphic Vision Sensors. Frontiers Neurorobotics 13: 10 (2019) - [j11]Guang Chen, Zhenshan Bing, Florian Röhrbein, Jörg Conradt, Kai Huang, Long Cheng, Zhuangyi Jiang, Alois C. Knoll:
Toward Brain-Inspired Learning With the Neuromorphic Snake-Like Robot and the Neurorobotic Platform. IEEE Trans. Cogn. Dev. Syst. 11(1): 1-12 (2019) - [c22]Lukas Tenbrink, Benedikt Feldotto, Florian Röhrbein, Alois C. Knoll:
Motion Prediction of Virtual Patterns, Human Hand Motions, and a simplified Hand Manipulation Task with Hierarchical Temporal Memory. CBS 2019: 305-309 - 2018
- [j10]Zhenshan Bing, Claus Meschede, Florian Röhrbein, Kai Huang, Alois C. Knoll:
A Survey of Robotics Control Based on Learning-Inspired Spiking Neural Networks. Frontiers Neurorobotics 12: 35 (2018) - [c21]Zhenshan Bing, Claus Meschede, Kai Huang, Guang Chen, Florian Röhrbein, Mahmoud Akl, Alois C. Knoll:
End to End Learning of Spiking Neural Network Based on R-STDP for a Lane Keeping Vehicle. ICRA 2018: 1-8 - 2017
- [j9]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) - [j8]Timo Oess, Jeffrey L. Krichmar, Florian Röhrbein:
A Computational Model for Spatial Navigation Based on Reference Frames in the Hippocampus, Retrosplenial Cortex, and Posterior Parietal Cortex. Frontiers Neurorobotics 11: 4 (2017) - [j7]Hong Qiao, Hong Zhang, Florian Röhrbein:
Editorial for special issue on human-inspired computing. Int. J. Autom. Comput. 14(5): 501-502 (2017) - [j6]Alois C. Knoll, Florian Röhrbein, Alexander Kuhn, Mahmoud Akl, Kenny Sharma:
Neurorobotics - From computational neuroscience to intelligent robots and back. Inform. Spektrum 40(2): 161-164 (2017) - [c20]Simone Scardapane, Lucas Stoffl, Florian Röhrbein, Aurelio Uncini:
On the use of deep recurrent neural networks for detecting audio spoofing attacks. IJCNN 2017: 3483-3490 - [c19]Zhenshan Bing, Long Cheng, Kai Huang, Zhuangyi Jiang, Guang Chen, Florian Röhrbein, Alois C. Knoll:
Towards autonomous locomotion: Slithering gait design of a snake-like robot for target observation and tracking. IROS 2017: 2698-2703 - [c18]Florian Walter, Marwin Sandner, Florian Röhrbein, Alois C. Knoll:
Towards a neuromorphic implementation of hierarchical temporal memory on SpiNNaker. ISCAS 2017: 1-4 - [c17]Gereon Hinz, Guang Chen, Muhammad Aafaque, Florian Röhrbein, Jörg Conradt, Zhenshan Bing, Zhongnan Qu, Walter Stechele, Alois C. Knoll:
Online Multi-object Tracking-by-Clustering for Intelligent Transportation System with Neuromorphic Vision Sensor. KI 2017: 142-154 - [c16]Georgi Dikov, Mohsen Firouzi, Florian Röhrbein, Jörg Conradt, Christoph Richter:
Spiking Cooperative Stereo-Matching at 2 ms Latency with Neuromorphic Hardware. Living Machines 2017: 119-137 - [p2]Alois C. Knoll, Florian Röhrbein, Mahmoud Akl, Alexander Kuhn, Kenny Sharma:
Neurorobotics: From Computational Neuroscience to Intelligent Robots and Back. 50 Jahre Universitäts-Informatik in München 2017: 123-128 - 2016
- [j5]Florian Walter, Florian Röhrbein, Alois C. Knoll:
Computation by Time. Neural Process. Lett. 44(1): 103-124 (2016) - [j4]Christoph Richter, Soren Jentzsch, Rafael Hostettler, Jesús Alberto Garrido, Eduardo Ros, Alois C. Knoll, Florian Röhrbein, Patrick van der Smagt, Jörg Conradt:
Musculoskeletal Robots: Scalability in Neural Control. IEEE Robotics Autom. Mag. 23(4): 128-137 (2016) - [c15]Mahmoud Akl, Florian Walter, Florian Röhrbein:
Learning Spiking Neural Controllers for In-Silico Navigation Experiments. CogSci 2016 - [c14]Florian Röhrbein, Marc-Oliver Gewaltig, Cecilia Laschi, Gudrun Klinker, Paul Levi, Alois C. Knoll:
The Neurorobotics Platform of the Human Brain Project. CogSci 2016 - [c13]Alexander Vandesompele, Florian Walter, Florian Röhrbein:
Neuro-evolution of spiking neural networks on SpiNNaker neuromorphic hardware. SSCI 2016: 1-6 - [i1]Christoph Richter, Sören Jentzsch, Rafael Hostettler, Jesús Alberto Garrido, Eduardo Ros, Alois C. Knoll, Florian Röhrbein, Patrick van der Smagt, Jörg Conradt:
Scalability in Neural Control of Musculoskeletal Robots. CoRR abs/1601.04862 (2016) - 2015
- [j3]Florian Walter, Florian Röhrbein, Alois C. Knoll:
Neuromorphic implementations of neurobiological learning algorithms for spiking neural networks. Neural Networks 72: 152-167 (2015) - [c12]Ulrich von Waldow, Florian Röhrbein:
Structure Learning in Bayesian Networks with Parent Divorcing. EAPCogSci 2015 - 2014
- [c11]Sascha S. Griffiths, Laura Voss, Florian Röhrbein:
Industry-academia collaborations in robotics: Comparing Asia, Europe and North-America. ICRA 2014: 748-753 - [c10]Artem Ostankov, Florian Röhrbein, Ulli Waltinger:
LinkedHealthAnswers: Towards Linked Data-driven Question Answering for the Health Care Domain. LREC 2014: 2613-2620 - [p1]Sascha S. Griffiths, Ciro Natale, Ricardo Araújo, Germano Veiga, Pasquale Chiacchio, Florian Röhrbein, Stefano Chiaverini, Reinhard Lafrenz:
The ECHORD Project: A General Perspective. Technology Transfer Experiments from the ECHORD Project 2014: 1-24 - [e1]Florian Röhrbein, Germano Veiga, Ciro Natale:
Gearing Up and Accelerating Cross-fertilization between Academic and Industrial Robotics Research in Europe: - Technology Transfer Experiments from the ECHORD Project. Springer Tracts in Advanced Robotics 94, Springer 2014, ISBN 978-3-319-03837-7 [contents] - 2013
- [j2]Jeffrey L. Krichmar, Florian Röhrbein:
Value and reward based learning in neurorobots. Frontiers Neurorobotics 7: 13 (2013) - [j1]Sascha S. Griffiths, Florian Röhrbein:
Technology Transfer in Academia-Industry Collaborations - Interview with Dr. Alexander Waibel, Professor of Computer Science at Carnegie Mellon University, USA and Karlsruhe Institute of Technology (KIT), Germany. Künstliche Intell. 27(4): 365-368 (2013)
2000 – 2009
- 2009
- [c9]Florian Röhrbein, Julian Eggert, Edgar Körner:
Child-friendly divorcing: Incremental hierarchy learning in Bayesian networks. IJCNN 2009: 2711-2716 - [c8]Daniel Weiler, Florian Röhrbein, Julian Eggert:
Level-set segmentation with contour based object representation. IJCNN 2009: 3327-3334 - 2008
- [c7]Sven Rebhan, Florian Röhrbein, Julian Eggert, Edgar Körner:
Attention Modulation Using Short- and Long-Term Knowledge. ICVS 2008: 151-160 - 2007
- [c6]Florian Röhrbein, Julian Eggert, Edgar Körner:
A Cortex-Inspired Neural-Symbolic Network for Knowledge Representation. NeSy 2007 - 2004
- [c5]Florian Röhrbein, Stefan Artmann, Martin C. Hirsch:
IKAR/OS. Modellierung 2004: 327-328 - 2003
- [c4]Florian Röhrbein, Kerstin Schill, Volker Baier, Klaus Stein, Christoph Zetzsche, Wilfried Brauer:
Motion Shapes: Empirical Studies and Neural Modeling. Spatial Cognition 2003: 305-320 - 2001
- [c3]Kerstin Schill, Volker Baier, Florian Röhrbein, Wilfried Brauer:
Hierarchical network model for the analysis of human spatio-temporal information processing. Human Vision and Electronic Imaging 2001: 615-621 - 2000
- [c2]Andreas Eisenkolb, Kerstin Schill, Florian Röhrbein, Volker Baier, Alexandra Musto, Wilfried Brauer:
Visual Processing and Representation of Spatio-temporal Patterns. Spatial Cognition 2000: 145-156
1990 – 1999
- 1998
- [c1]Florian Röhrbein, Christoph Zetzsche:
Exploitation of Natural Image Statistics by Biological Vision Systems: 1/f2 Power Spectra and Self-Similar Bandpass Decompositions. CVPR 1998: 86-91
Coauthor Index
aka: Alois Knoll
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