Technische Universität München Robotics and Embedded Systems
 

Florian Walter, M.Sc.

 

Research Assistant

E-Mail florian.walter@tum.de
Room MI 03.07.037
Phone +49.89.289.18102
Fax +49.89.289.18107
Address Institut für Informatik VI
Technische Universität München
Boltzmannstraße 3
85748 Garching bei München
Germany
Homepage http://www6.in.tum.de/Main/walterfl
<Florian Walter, M.Sc.>
 

Curriculum Vitæ

Florian Walter received his Master’s degree in informatics with high distinction from Technische Universität München. During his Master studies, he completed an internship in the automotive industry and was a visiting student researcher in the Artificial Intelligence Laboratory at Stanford University where he worked in the field of online trajectory generation for robotics. In August 2014, Florian joined the HBP SP10 Neurorobotics research group as research assistant where is now working in the field of neurobiological learning methods for robotics.

Events

Teaching

Publications

Journal Articles

[1] Florian Walter, Florian Röhrbein, and Alois Knoll. Neuromorphic implementations of neurobiological learning algorithms for spiking neural networks. Neural Networks, 72:152 - 167, 2015. Neurobiologically Inspired Robotics: Enhanced Autonomy through Neuromorphic Cognition. [ DOI | .bib ]
[2] Florian Walter, Florian Röhrbein, and Alois Knoll. Computation by time. Neural Processing Letters, pages 1-22, 2015. [ DOI | .bib ]

Talks

[1] Florian Walter. Learning like the Brain: A Neuroscientific Perspective on Machine Learning and Robotics. In Japan-EU Workshop on Neurorobotics. Tokyo, April 2015. [ .bib ]
[2] Florian Walter and Florian Röhrbein. Neurorobotics: Learning from the Brain. In European Robotics Forum. Vienna, March 2015. [ .bib ]

Posters

[1] Florian Walter, Florian Röhrbein, and Alois Knoll. Learning Techniques for Neurorobotics - A Survey on the Role of the Factor Time. In Florian Walter, Florian Röhrbein, Stefan Ulbrich, and Rüdiger Dillmann, editors, IROS 2015 Workshop on Advances in Biologically Inspired Brain-Like Cognition and Control for Learning Robots, October 2015. [ .bib | .pdf ]

Proceedings

[1] Florian Röhrbein, Florian Walter, Cecilia Laschi, and Egidio Falotico. Brain-Supported Learning Algorithms for Robots. In Gabriella Airenti, Bruno G. Bara, Giulio Sandini, and Marco Cruciani, editors, Proceedings of the EuroAsianPacific Joint Conference on Cognitive Science / 4th European Conference on Cognitive Science / 11th International Conference on Cognitive Science, Torino, Italy, September 25-27, 2015, volume 1419 of CEUR Workshop Proceedings, pages 11-12. CEUR-WS.org, 2015. [ .bib ]
[2] Florian Walter, Florian Röhrbein, Stefan Ulbrich, and Rüdiger Dillmann. Advances in Biologically Inspired Brain-Like Cognition and Control for Learning Robots. In Intelligent Robots and Systems (IROS 2015), 2015 IEEE/RSJ International Conference on, 2015. [ .bib | .pdf ]