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Principal Investigator
Address:
TUM - Department of ETIT, CoTeSys
Karlstr. 45, Room 3021
80333 Munich,
Germany
Phone: +49 89 28 926902
Email: conradt[at]tum.de
Homepage
Associated with BCCN
| Name |
Status |
| Mohsen Firouzi |
PhD Student |
| Cristian Axenie |
| Indar Sugiarto |
| Nicolai Waniek |
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Research topics
Neuronal-Style Information Processing in Closed-Control-Loop Systems:
- Distributed Local Information Processing
- Growing and Adaptive Networks of Computational Units
- Neuromorphic Sensor Fusion and Distributed Actuator Networks
- Event-Based Perception, Cognition, and Action.
Scientific approach
Theoretical investigations in key principles of distributed neuronal information processing, and implementation of such principles in artificial systems that interact intelligently with the real world. We employ distributed parallel computing hardware and real-world robotic systems to generate predictions for comparisons in psychophysical and behavioral experiments.
Bernstein projects
Project C-T1 – Sensor Fusion in Cortical Circuits: Modeling and Behavioral Experiments in Man and Machine. Jörg Conradt (TUM) and Sefan Glasauer (LMU)
Project C3 – Optic Flow Decoding - Circuit Analysis in the Fly and Implementation on a Robofly. Jörg Conradt (TUM), Martin Buss (TUM), and Alexander Borst (MPI)
Related Publications
- C. Axenie, J. Conradt, Cortically Inspired Sensor Fusion Network for Mobile Robot Heading Estimation, International Conf. on Artificial Neural Networks (ICANN), Sofia, Bulgaria, p.240-247, 2013
- C. Denk, F. Llobet-Blandino, F. Galluppi, L.A. Plana, S. Furber, J. Conradt, Real-Time Interface Board for Closed-Loop Robotic Tasks on the SpiNNaker Neural Computing System, International Conf. on Artificial Neural Networks (ICANN), Sofia, Bulgaria, 2013 , p. 467-74 , accepted.
- D. Weikersdorfer, R. Hoffmann, and J. Conradt, Simultaneous Localization and Mapping for event-based Vision Systems, International Conference on Computer Vision Systems (ICVS), St. Petersburg, Russia, 2013.
- Y. Sandamirskaya, J. Conradt, Increasing Autonomy of Learning Sensorimotor Transformations with Dynamic Neural Fields, IEEE ICRA Workshop on Autonomous Learning, Karlsruhe, Germany, 2013.
- D. Weikersdorfer, J. Conradt, Event-based Particle Filtering for Robot Self-Localization , Proceedings of the IEEE International Conference on Robotics and Biomimetics (IEEE-ROBIO), Guangzhou, China, 2012, p. 866-870.
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