Florian Röhrbein
Florian Röhrbein
Verified email at in.tum.de - Homepage
Cited by
Cited by
Low-level integration of auditory and visual motion signals requires spatial co-localisation
GF Meyer, SM Wuerger, F Röhrbein, C Zetzsche
Experimental Brain Research 166 (3-4), 538-547, 2005
Connecting artificial brains to robots in a comprehensive simulation framework: the neurorobotics platform
E Falotico, L Vannucci, A Ambrosano, U Albanese, S Ulbrich, ...
Frontiers in neurorobotics 11, 2, 2017
Neuromorphic implementations of neurobiological learning algorithms for spiking neural networks
F Walter, F Röhrbein, A Knoll
Neural Networks 72, 152-167, 2015
A survey of robotics control based on learning-inspired spiking neural networks
Z Bing, C Meschede, F Röhrbein, K Huang, AC Knoll
Frontiers in neurorobotics 12, 35, 2018
Towards autonomous locomotion: CPG-based control of smooth 3D slithering gait transition of a snake-like robot
Z Bing, L Cheng, G Chen, F Röhrbein, K Huang, A Knoll
Bioinspiration & biomimetics 12 (3), 035001, 2017
Catching audiovisual mice: predicting the arrival time of auditory-visual motion signals
M Hofbauer, SM Wuerger, GF Meyer, F Roehrbein, K Schill, C Zetzsche
Cognitive, Affective, & Behavioral Neuroscience 4 (2), 241-250, 2004
A computational model for spatial navigation based on reference frames in the hippocampus, retrosplenial cortex, and posterior parietal cortex
T Oess, JL Krichmar, F Röhrbein
Frontiers in neurorobotics 11, 4, 2017
Musculoskeletal robots: scalability in neural control
C Richter, S Jentzsch, R Hostettler, JA Garrido, E Ros, A Knoll, ...
IEEE Robotics & Automation Magazine 23 (4), 128-137, 2016
End to end learning of spiking neural network based on r-stdp for a lane keeping vehicle
Z Bing, C Meschede, K Huang, G Chen, F Rohrbein, M Akl, A Knoll
2018 IEEE International Conference on Robotics and Automation (ICRA), 4725-4732, 2018
Spiking cooperative stereo-matching at 2 ms latency with neuromorphic hardware
G Dikov, M Firouzi, F Röhrbein, J Conradt, C Richter
Conference on Biomimetic and Biohybrid Systems, 119-137, 2017
How does image noise affect actual and predicted human gaze allocation in assessing image quality?
F Röhrbein, P Goddard, M Schneider, G James, K Guo
Vision research 112, 11-25, 2015
Gearing up and accelerating cross‐fertilization between academic and industrial robotics research in Europe: Technology transfer experiments from the ECHORD project
F Röhrbein, G Veiga, C Natale
Event-based neuromorphic vision for autonomous driving: a paradigm shift for bio-inspired visual sensing and perception
G Chen, H Cao, J Conradt, H Tang, F Rohrbein, A Knoll
IEEE Signal Processing Magazine 37 (4), 34-49, 2020
Computation by time
F Walter, F Röhrbein, A Knoll
Neural Processing Letters 44 (1), 103-124, 2016
A cortex-inspired neural-symbolic network for knowledge representation
F Röhrbein, J Eggert, E Körner
NeSy, 2007
Toward brain-inspired learning with the neuromorphic snake-like robot and the neurorobotic platform
G Chen, Z Bing, F Röhrbein, J Conradt, K Huang, L Cheng, Z Jiang, ...
IEEE Transactions on Cognitive and Developmental Systems 11 (1), 1-12, 2017
Value and reward based learning in neurorobots
JL Krichmar, F Röhrbein
Frontiers in neurorobotics 7, 13, 2013
Attention modulation using short-and long-term knowledge
S Rebhan, F Röhrbein, J Eggert, E Körner
International Conference on Computer Vision Systems, 151-160, 2008
Multi-cue event information fusion for pedestrian detection with neuromorphic vision sensors
G Chen, H Cao, C Ye, Z Zhang, X Liu, X Mo, Z Qu, J Conradt, F Röhrbein, ...
Frontiers in neurorobotics 13, 10, 2019
Scalability in neural control of musculoskeletal robots
C Richter, S Jentzsch, R Hostettler, JA Garrido, E Ros, AC Knoll, ...
arXiv preprint arXiv:1601.04862, 2016
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