Florian Röhrbein

发表

Connecting Artificial Brains to Robots in a Comprehensive Simulation Framework: The Neurorobotics Platform

Rüdiger Dillmann, Alois Knoll, Pablo Martínez-Cañada, 2017, Front. Neurorobot..

Towards a neuromorphic implementation of hierarchical temporal memory on SpiNNaker

Alois Knoll, Florian Röhrbein, Florian Walter, 2017, 2017 IEEE International Symposium on Circuits and Systems (ISCAS).

IKAR/OS - Intelligent Knowledge and Research Operating System

Florian Röhrbein, S. Artmann, M. Hirsch, 2004 .

Motion Shapes: Empirical Studies and Neural Modeling

Wilfried Brauer, Klaus Stein, Florian Röhrbein, 2003, Spatial Cognition.

Musculoskeletal Robots: Scalability in Neural Control pdf

Alois Knoll, Patrick van der Smagt, Jörg Conradt, 2016, IEEE Robotics & Automation Magazine.

On Industry-Academia Collaborations in Robotics (Technical Report TUM-I1338)

Florian Röhrbein, Sascha S. Griffiths, Laura Voss, 2013 .

Online Multi-object Tracking-by-Clustering for Intelligent Transportation System with Neuromorphic Vision Sensor

Alois Knoll, Walter Stechele, Guang Chen, 2017, KI.

End to End Learning of Spiking Neural Network based on R-STDP for a Lane Keeping Vehicle, to be appear

Alois Knoll, Guang Chen, Florian Röhrbein, 2018, ICRA 2018.

Learning human gazing behavior with a simple neural network

Ashraf Mohamed, Florian Röhrbein, 2015 .

Hebbian Learning Based Sensorimotor Association in a Closed-Loop Neurorobotic Experiment

Benedikt Feldotto, Florian Röhrbein, Florian Walter, 2017 .

LinkedHealthAnswers: Towards Linked Data-driven Question Answering for the Health Care Domain

Florian Röhrbein, Ulli Waltinger, Artem Ostankov, 2014, LREC.

Toward Brain-Inspired Learning With the Neuromorphic Snake-Like Robot and the Neurorobotic Platform

Alois Knoll, Long Cheng, Jörg Conradt, 2019, IEEE Transactions on Cognitive and Developmental Systems.

Gearing up and accelerating cross-fertilization between academic and industrial robotics research in Europe:

Florian Röhrbein, Germano Veiga, Ciro Natale, 2014 .

Level-set segmentation with contour based object representation

Daniel Weiler, Julian Eggert, Florian Röhrbein, 2009, 2009 International Joint Conference on Neural Networks.

FLGR: Fixed Length Gists Representation Learning for RNN-HMM Hybrid-Based Neuromorphic Continuous Gesture Recognition

Jörg Conradt, Florian Röhrbein, Guang Chen, 2019, Front. Neurosci..

Value and reward based learning in neurorobots

Jeffrey L. Krichmar, Florian Röhrbein, J. Krichmar, 2013, Front. Neurorobot..

Technology Transfer in Academia-Industry Collaborations

Florian Röhrbein, Sascha S. Griffiths, 2013, KI - Künstliche Intelligenz.

End to End Learning of Spiking Neural Network Based on R-STDP for a Lane Keeping Vehicle

Alois Knoll, Kai Huang, Guang Chen, 2018, 2018 IEEE International Conference on Robotics and Automation (ICRA).

Hierarchical network model for the analysis of human spatio-temporal information processing

Wilfried Brauer, Florian Röhrbein, Kerstin Schill, 2001, IS&T/SPIE Electronic Imaging.

Structure Learning in Bayesian Networks with Parent Divorcing

Florian Röhrbein, Ulrich von Waldow, 2015, EAPCogSci.

Attention Modulation Using Short- and Long-Term Knowledge

Julian Eggert, Florian Röhrbein, Sven Rebhan, 2008, ICVS.

A Survey of Robotics Control Based on Learning-Inspired Spiking Neural Networks

Alois Knoll, Kai Huang, Florian Röhrbein, 2018, Front. Neurorobot..

Computation by Time

Alois Knoll, Florian Röhrbein, Florian Walter, 2015, Neural Processing Letters.

Proximity in Industry-Academia Collaborations: The Case of the ECHORD Project

Florian Röhrbein, Sascha S. Griffiths, Laura Voss, 2015 .

Neuromorphic implementations of neurobiological learning algorithms for spiking neural networks

Alois Knoll, Florian Röhrbein, Florian Walter, 2015, Neural Networks.

Comparison of models of visual attention in degraded images

Florian Röhrbein, Michael Schneider, Kun Guo, 2015 .

Real-time Cerebellar Control of a Compliant Robotic Arm

Christoph Richter, Patrick van der Smagt, Jörg Conradt, 2015 .

Neurorobotics - From computational neuroscience to intelligent robots and back

Alois Knoll, Florian Röhrbein, Kenny Sharma, 2017, Inform. Spektrum.

Low-level integration of auditory and visual motion signals requires spatial co-localisation

Sophie M. Wuerger, Florian Röhrbein, Georg F. Meyer, 2005, Experimental Brain Research.

A Cortex-Inspired Neural-Symbolic Network for Knowledge Representation

Julian Eggert, Florian Röhrbein, Edgar Körner, 2007, NeSy.

European Robotics Research Institutions

Alois Knoll, Florian Röhrbein, Laura Voss, 2013 .

Advances in Biologically Inspired Brain-Like Cognition and Control for Learning Robots

Stefan Ulbrich, Rüdiger Dillmann, Florian Röhrbein, 2015, IROS 2015.

Neurorobotics: From Computational Neuroscience to Intelligent Robots and Back

Alois Knoll, Florian Röhrbein, Mahmoud Akl, 2017 .

Hebbian learning for online prediction, neural recall and classical conditioning of anthropomimetic robot arm motions.

Alois Knoll, Benedikt Feldotto, Florian Röhrbein, 2018, Bioinspiration & biomimetics.

More for less - Energy Efficiency in Neural Locomotion Control

Florian Röhrbein, Philipp Stratmann, 2016 .

Neuromorphic Vision Based Multivehicle Detection and Tracking for Intelligent Transportation System

Alois Knoll, Walter Stechele, Gereon Hinz, 2018, Journal of Advanced Transportation.

Brain-Supported Learning Algorithms for Robots

Cecilia Laschi, Egidio Falotico, Florian Röhrbein, 2015 .

Towards autonomous locomotion: Slithering gait design of a snake-like robot for target observation and tracking

Alois Knoll, Kai Huang, Guang Chen, 2017, 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Multi-Cue Event Information Fusion for Pedestrian Detection With Neuromorphic Vision Sensors

Alois Knoll, Jörg Conradt, Florian Röhrbein, 2019, Front. Neurorobot..

The ECHORD Project: A General Perspective

Pasquale Chiacchio, Stefano Chiaverini, Florian Röhrbein, 2014, Technology Transfer Experiments from the ECHORD Project.

Musculoskeletal Robots: Scalability in Neural Control

Alois Knoll, Patrick van der Smagt, Jörg Conradt, 2016, IEEE Robotics & Automation Magazine.

Spiking Cooperative Stereo-Matching at 2 ms Latency with Neuromorphic Hardware

Jörg Conradt, Florian Röhrbein, Mohsen Firouzi, 2017, Living Machines.

Analysis of Industry-Academia Collaboration in Robotics

Florian Röhrbein, Sara El Desouky, 2015 .

A Computational Model for Spatial Navigation Based on Reference Frames in the Hippocampus, Retrosplenial Cortex, and Posterior Parietal Cortex

Jeffrey L. Krichmar, Florian Röhrbein, Timo Oess, 2017, Front. Neurorobot..

Task-Independent Spiking Central Pattern Generator: A Learning-Based Approach

Alois Knoll, Florian Röhrbein, Elie Aljalbout, 2020, Neural Processing Letters.

Prototypical Relations for Cortex-Inspired Semantic Representations

Florian Röhrbein, F. Röhrbein, 2007 .

Child-friendly divorcing: Incremental hierarchy learning in Bayesian networks

Julian Eggert, Florian Röhrbein, Edgar Körner, 2009, 2009 International Joint Conference on Neural Networks.

Editorial for special issue on human-inspired computing

Florian Röhrbein, Hong Zhang, Hong Qiao, 2017, Int. J. Autom. Comput..

Special track on neurocomputing & deep learning and continuos-time computing (NC&DLCC)

Stefan Ulbrich, Sander M. Bohte, Cecilia Laschi, 2016 .

Bio-inspired optic flow detection using neuromorphic hardware

Christoph Richter, Jörg Conradt, Florian Röhrbein, 2014 .

Visual Processing and Representation of Spatio-temporal Patterns

Wilfried Brauer, Florian Röhrbein, Kerstin Schill, 2000, Spatial Cognition.

The Neurorobotics Platform of the Human Brain Project

Alois Knoll, Marc-Oliver Gewaltig, Cecilia Laschi, 2016, CogSci.

Industry-academia collaborations in robotics: Comparing Asia, Europe and North-America

Florian Röhrbein, Sascha S. Griffiths, Laura Voss, 2014, 2014 IEEE International Conference on Robotics and Automation (ICRA).

Learning Spiking Neural Controllers for In-Silico Navigation Experiments

Florian Röhrbein, Florian Walter, Mahmoud Akl, 2016, CogSci.

On the use of deep recurrent neural networks for detecting audio spoofing attacks

Simone Scardapane, Aurelio Uncini, Florian Röhrbein, 2017, 2017 International Joint Conference on Neural Networks (IJCNN).

Exploitation of natural image statistics by biological vision systems: 1/f/sup 2/ power spectra and self-similar bandpass decompositions

Florian Röhrbein, Christoph Zetzsche, C. Zetzsche, 1998, Proceedings. 1998 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No.98CB36231).

Towards autonomous locomotion: CPG-based control of smooth 3D slithering gait transition of a snake-like robot

Alois Knoll, Kai Huang, Florian Röhrbein, 2017, Bioinspiration & biomimetics.

Neuro-evolution of spiking neural networks on SpiNNaker neuromorphic hardware

Florian Röhrbein, Florian Walter, Alexander Vandesompele, 2016, 2016 IEEE Symposium Series on Computational Intelligence (SSCI).

Editorial: The Embodied Brain: Computational Mechanisms of Integrated Sensorimotor Interactions With a Dynamic Environment

Gustavo Deco, Rainer Goebel, Florian Röhrbein, 2020, Frontiers in Computational Neuroscience.

Real-time 3D Semantic Mapping based on Keyframes and Octomap for Autonomous Cobot

Florian Röhrbein, Christian von Reventlow, Ahmad Kheirandish Gharehbagh, 2021, 2021 9th International Conference on Control, Mechatronics and Automation (ICCMA).

Bayesian Columnar Networks for Grounded Cognitive Systems

Julian Eggert, Florian Röhrbein, Edgar Körner, 2008 .