Research Associate

Curriculum Vitæ:

Florian Röhrbein is senior lecturer at the research group “Robotics and Embedded Systems” in TUM’s Informatics Department. He is managing director of the Neurorobotics subproject of the Human Brain Project flagship. He has international work experience in various projects on brain-inspired cognitive systems. Research stays include the MacKay Institute of Communication and Neuroscience (UK), the HONDA Research Institute Europe (Germany) and the Albert Einstein College of Medicine (New York). He received his Diploma (with honors) and PhD (magna cum laude) from TU München. In 2011 he received the venia legendi for computer science from Universität Bremen.

Teaching

WS 16/17	Masterpraktikum	Advanced Machine Learning in Neurorobotics
WS 16/17	Proseminar	Brain-inspired Robotics
WS 16/17	Seminar	Human Brain Project
SS 16	Vorlesung	Kognitive Systeme
SS 16	Masterpraktikum	Advanced Machine Learning in Neurorobotics
SS 16	Seminar	Human Brain Project
WS 15/16	Seminar	Kognitive Robotik & Systeme
WS 15/16	Seminar	Human Brain Project
SS 15	Vorlesung	Kognitive Systeme
SS 14	Vorlesung	Kognitive Systeme
WS 13/14	Proseminar	Robotik und kognitive Systeme
WS 13/14	Seminar	Kognitive Robotik
SS 13	Vorlesung	Kognitive Systeme
SS 13	Proseminar	Robotik und kognitive Systeme
SS 13	Seminar	Kognitive Robotik
WS 12/13	Proseminar	Robotik und kognitive Systeme
WS 12/13	Seminar	Kognitive Robotik
SS 12	Proseminar	Robotik und kognitive Systeme
SS 12	Seminar	Kognitive Robotik

Publications

Books
Röhrbein, F., Veiga, G., Natale, C. (2014). 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, Vol. 94
Krichmar, J., Röhrbein, F. (2013) Value and Reward Based Learning in Neurobots. E-Book, Frontiers in Neurorobotics.

Peer-reviewed Articles
Griffiths, S., Voss, L. and Röhrbein, F. (2014). Industry-Academia Collaborations in Robotics: Comparing Asia, Europe and North-America. IROS-2014, accepted.
Röhrbein, F., Eggert, J., Körner, E. (2009). Child-friendly divorcing: Incremental hierarchy learning in Bayesian Networks, Proceedings of International Joint Conference on Neural Networks (IJCNN), 2711-2716.
Riad, M., Röhrbein, F., Einecke, N., Eggert, J. (2009). Exploiting Spatial Relational Knowledge for Visual Cognitive Tasks. In N. Taatgen and H. van Rijn (Eds.), Proceedings of the 31th Annual Conference of the Cognitive Science Society, 1535-1540.
Weiler, D., Röhrbein, F., Eggert, J. (2009). Level-Set Segmentation with Contour based Object Representation, Proceedings of International Joint Conference on Neural Networks (IJCNN), 3327-3334.
Röhrbein, F., Eggert, J., Körner, E. (2008). Bayesian columnar networks for grounded cognitive systems. In B.C. Love, K. McRae, V.M. Sloutsky (Eds.), Proceedings of the 30th Annual Conference of the Cognitive Science Society (CogSci), 1423-1428.
Rebhan, S., Röhrbein, F., Eggert, J., Körner, E. (2008). Attention modulation using short- and long-term knowledge. In Gasteratos, A., Vincze, M., Tsotsos, J.K. (Eds), Proceedings of the 6th International Conference on Computer Vision Systems (ICVS), Lecture Notes in Computer Science 5008, Springer, Berlin: 151-160.
Röhrbein, F., Eggert, J., Körner, E. (2007). Prototypical relations for cortex-inspired semantic representations. Proceedings of the 8th International Conference on Cognitive Modeling (ICCM), Ann Arbor, U.S.A. 307-312.
Meyer, G., Wuerger, S., Röhrbein, F., Zetzsche, C. (2005). Low-level integration of auditory and visual motion signals requires spatial co-localisation. Experimental Brain Research, 166(3-4): 538-547.
Hofbauer, M., Wuerger, S., Meyer, G., Röhrbein, F., Schill, K., Zetzsche, C. (2004). Catching audiovisual mice: Predicting the arrival time of auditory-visual motion signals. Cognitive, Affective and Behavioral Neuroscience, 4(2): 241-250.
Zetzsche, C., Röhrbein, F., Hofbauer, M., Schill, K. (2002). Audio-visual sensory interactions and the statistical covariance of the natural environment, Proceedings of the Forum Acusticum, Special Issue of the Journal Revista de Acustica, Vol. XXXIII, no. 3-4, 2002, PSY-05-003-IP: 1-6.
Schill, K., Baier, V., Röhrbein, F., Brauer, W. (2001). A hierarchical network model for the analyses of human spatio-temporal information processing. In Rogowitz, B.E., Pappas, T.N. (Eds), Human Vision and Electronic Imaging, Proceedings SPIE. Vol. 4299: 615-621.
Zetzsche, C., Röhrbein, F. (2001). Nonlinear and extra-classical receptive field properties and the statistics of natural scenes. Network: Computation in Neural Systems, 12: 331-350.
Röhrbein, F., Zetzsche, C. (2000). Auditory-visual interactions and the covariance structure generated by relative movements in natural environments. In Guidati, G., Hunt, H., Heiss, A. (Eds), Proceedings of the Seventh International Congress on Sound and Vibration (ICSV), International Institute of Acoustics and Vibration, Kramer Technology Publishing: 2427-2434.
Röhrbein, F., Zetzsche, C. (1998). Exploitation of natural image statistics by biological vision systems: 1/f2 power spectra and self-similar bandpass decompositions. In Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR-98, IEEE Computer Society, Los Alamitos, CA: 86-91.

Book Chapters
Griffiths, S., Natale, C., Araujo, R., Veiga, G., Chiacchio, P., Röhrbein, F., Chiaverini, S., and Lafrenz, R. (2014): The ECHORD Project: A General Perspective. In: Röhrbein, F., Veiga, G., Natale, C. (Eds.). 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, Vol. 94: 1-24.
Röhrbein, F., Schill, K., Baier, V., Stein, K., Zetzsche, C., Brauer, W. (2003). Motion shapes: Empirical studies and neural modeling. In Freksa, C., Brauer, W., Habel, C., Wender, K. (Eds), Spatial Cognition III – Routes and Navigation, Human Memory and Learning, Spatial Representation and Spatial Learning, Lecture Notes in Artificial Intelligence, vol. 2685, Springer, Berlin: 305-320.
Eisenkolb, A., Schill, K., Röhrbein, F., Baier, V., Musto, A., Brauer, W. (2000). Visual processing and representation of spatio-temporal patterns. In Freksa, C., Habel, C., Wender, K. (Eds), Spatial Cognition II – Integrating Abstract The¬ories, Empirical Studies, Formal Methods and Practical Applications, Lecture Notes in Artificial Intelligence, vol. 1849, Springer, Berlin: 145-156.

Short Articles, Workshop Papers and Reports
Griffiths, S. and Röhrbein, F. (2013). Technology transfer in academia-industry collaborations. KI – Künstliche Intelligenz, Vol. 27(4): 365-368.
Röhrbein, F., Griffiths, S. and Voss, L. (2013). On industry-academia collaborations in robotics. Technical Report TUM-I1338.
Zetzsche, C., Röhrbein, F., Schill, K. (2010). Weber’s Law and the Statistics of the Natural Environment. Fechner Day 2010 – 26th Annual Meeting of the International Society for Psychophysics. Padua, Italy: International Society for Psychophysics.
Röhrbein, F., Eggert, J., Körner, E. (2007). A cortex-inspired neural-symbolic network for knowledge representation, Proceedings of the IJCAI Workshop on Neural-Symbolic Learning and Reasoning (NeSy). CEUR Workshop Proceedings.
Röhrbein, F., Eggert, J., Hasler, S., Richter, A., Hirsch, M., Körner, E. (2006). ProCog – a biologically motivated relational network. Proceedings of the 7th International Conference on Cognitive Modeling (ICCM), Trieste, Italy: 393-394.
Röhrbein, F., Eggert, J., Hasler, S., Richter, A. (2006). Towards a hybrid network for object representation, Honda Research Institute Europe GmbH, Internal Report, HRI-EU 06-09.
Röhrbein, F., Artmann, S., Hirsch, M. (2004). IKAR/OS – Intelligent knowledge and research operating system, In: Rumpe, B., Hesse, W. (Eds): Modellierung, GI-Edition Lecture Notes in Informatics (LNI), Vol. P-45, Köllen Verlag, Bonn: 327-328.
Röhrbein, F., Zetzsche, C. (2002). The statistics of natural scenes and Weber’s law. In Würtz, P., Lappe, M. (Eds), 4. Workshop Dynamic Perception, Akademische Verlagsgesellschaft, Berlin: 233-238.
Baier, V., Schill, K., Röhrbein, F., Brauer, W. (2000). Processing of spatio-temporal structures: A hierarchical neural network model. In Baratoff, G., Neumann, H. (Eds), 3. Workshop Dynamic Perception, Vol. 9 of Proceedings in Artificial Intelligence, Berlin: 223-226.
Zetzsche, C., Röhrbein, F. (2000). Cortical complex cells and the statistical structure of the natural environment. In Baratoff, G., Neumann, H. (Eds), 3. Workshop Dynamic Perception, Vol. 9 of Proceedings in Artificial Intelligence, Berlin: 57-62.

Conference Abstracts
Goddard, P., Schneider, M., James, G., Röhrbein, F. and Guo, K. (2013). Gaze behaviour in evaluating of degraded natural scenes. In Asia-Pacific Conference on Vision (APCV 2013), July 5th-8th, Suzhou, China.
Röhrbein, F., Coen Cagli, R., Schwartz, O. (2011). Dynamic scenes vs. static images: Differences in basic gazing behaviors for natural stimuli. Vision Science Society 2011 Meeting VSS-11, Naples, FL: 16.415.
Röhrbein, F., Coen Cagli, R., Schwartz, O. (2009). Analysis of Human Gaze-Selected Patches from Natural Image Sequences. Computational Cognitive Neuroscience Conference CCNC, Boston, MA.
Meyer, G., Röhrbein, F., Wuerger, S., Zetzsche, C. (2004). The effect of spatial asynchrony on the integration of auditory and visual motion signals. Journal of Vision, 4(8): 138a.
Röhrbein, F., Zetzsche, C., Meyer, G. (2003). Auditory-visual motion signals and the statistical redundancy of the natural environment. Proceedings of the International Multisensory Research Forum: 15.
Hofbauer, M., Wuerger, S., Meyer, G., Röhrbein, F. Schill, K., Zetzsche, C. (2003). Catching audio-visual mice: the extrapolation of audio-visual speed, Perception, 32: 96.
Wuerger, S., Röhrbein, F., Meyer, G., Hofbauer, M., Schill, K., Zetzsche, C. (2003). Auditory and visual motion signals have to be co-localized to be effectively integrated. Journal of Vision, 3(9): 771a.
Röhrbein, F., Hofbauer, M., Meyer, G., Wuerger, S., Schill, K., Zetzsche, C. (2003). The role of co-localization for auditory-visual motion signals. In Bülthoff, H.H., Gegenfurtner, K.R., Mallot, H.A., Ulrich, R., Wichmann. F.A. (Eds), Beiträge zur 6. Tübinger Wahrnehmungskonferenz, Knirsch Verlag: 105.
Wuerger, S., Hofbauer, M., Meyer, G., Röhrbein, F., Schill, K., Zetzsche, C. (2002). The integration of auditory and visual motion signals. Perception, 31: 148.
Wuerger, S., Hofbauer, M., Meyer, G., Röhrbein, F., Schill, K., Zetzsche, C. (2002). Direction selective detection of auditory and visual motion stimuli. In Bülthoff, H.H., Gegenfurtner, K.R., Mallot, H.A., Ulrich, R., (Eds), Beiträge zur 5. Tübinger Wahrnehmungskonferenz, Knirsch Verlag: 113.
Röhrbein, F., Zetzsche, C. (2001). The statistics of natural scenes and Weber’s law. In Bülthoff, H.H., Gegenfurtner, K.R., Mallot, H.A., Ulrich, R., (Eds), Beiträge zur 4. Tübinger Wahrnehmungskonferenz, Knirsch Verlag: 174.
Hofbauer, M., Röhrbein, F., Schill, K., Zetzsche, C. (2001). Visuell-auditive Kovariation und Interaktion. In Bülthoff, H.H., Gegenfurtner, K.R., Mallot, H.A., Ulrich, R., (Eds), Beiträge zur 4. Tübinger Wahrnehmungskonferenz, Knirsch Verlag: 162.
Schill, K., Röhrbein, F., Baier, V. (2001). Spatio-temporal prototypes: some empirical results and modeling concepts. Perception, 30: 27.
Zetzsche, C., Krieger, G., Röhrbein, F. (2000). Higher-order statistics and the mul¬tivariate probability density function of natural images. Perception, 29: 82.
Röhrbein, F., Schill, K. (2000). Invariant processing of spatio-temporal curves. Perception, 29: 38.
Röhrbein, F., Schill, K., Zetzsche, C. (2000). Intermodal sensory interactions for ec¬ologically valid intensity changes as caused by moving observers or moving objects. In Bülthoff, H.H., Fahle, M., Gegenfurtner, K.R., Mallot, H.A. (Eds), Beiträge zur 3. Tübinger Wahrnehmungskonferenz, Knirsch Verlag: 62.
Röhrbein, F., Zetzsche, C. (1998). Self-similar bandpass channels and the 1/f2 power spectrum of the natural environment: a rate distortion analysis. Perception, 27: 153.
Röhrbein, F., Zetzsche, C. (1998). 1/f2 power spectrum of natural images and self-similar bandpass channels in biological vision. In Bülthoff, H.H., Fahle, M., Gegenfurtner, K.R., Mallot, H.A. (Eds), Visuelle Wahrnehmung, Knirsch Verlag: 150.

People & Projects

PhD Students
Laura Voss, MCTS (Perceived Aliveness of Single-Purpose Robots) Sören Jentzsch, fortiss (t.b.d.)

Master Students
Artem Ostankov, Siemens (Machine Learning in Semantic Networks) Abel Betraoui, fortiss (t.b.d.) Uli von Waldow, TUM (Structure Learning in Bayesian Networks) Efrén Alvarez Emolda, Granada (Retinal Models) Yasser Eissa, GUC (Analysis of Academia-Industry Collaborations in Robotics)

Bachelor Students
Michael Schneider, TUM (Analysis and Comparison of Computational Models of Gaze Allocation on Degraded Images) Mahmoud Yassin, GUC (spiNNaker Project) Mina Nagy Zaki, GUC (Natural Object Database) Daniel Clemens, TUM (Incremental Learning in Bayesian Networks) Hossam Ahmed, GUC (Multisensory Project) Mohamed Ashraf, GUC (Eye Movement Data) Salma Farag, GUC (Category Learning)

see also:

http://www.neurorobotics.net

https://www.researchgate.net/profile/Florian_Roehrbein2

http://loop.frontiersin.org/people/54260/overview

http://journal.frontiersin.org/journal/neurorobotics

http://robohub.org/tag/echord-interview-series/