Foto von Benedikt Feldotto

M.Sc. Benedikt Feldotto

Technische Universität München

Dienstort

Informatik 6 - Lehrstuhl für Robotik, Künstliche Intelligenz und Echtzeitsysteme (Prof. Knoll)

Work:
Parkring 11-13(8101)/II
85748 Garching b. München

Curriculum Vitae

Benedikt Feldotto received a Bachelor of Engineering in Mechatronics from Baden-Wuerttemberg Cooperative State University (DHBW), also gaining industry work experience in the pre-development of automation and including a development stay in the USA. Based on his general engineering education he specialized in autonomous robotic systems implementing findings from Cognitive Neuroscience with the Master of Science program in "Robotics, Cognition, Intelligence" at Technical University of Munich (TUM). In 2017 Benedikt Feldotto joined the research group of Neurorobotics in the European Human Brain Project (HBP). His research interests focus on biomimetic learning in neurorobotic systems and the interaction of robots with humans as well as the environment. Additional discussions about ethical concerns arising with learning robots joining our daily life are very welcomed.

Workshops / Talks / Tutorials / Awards

Best Poster Award - Graduate School of Bioengineering
HBP Neurorobotics Platform Workshop at 28th Annual Conference of the Japanese Neural Network Society

Teaching

SS 17 Masterpraktikum Roboy - Simulation and Human Brain Project Integration
WS 17/18 Seminar HBP Neurorobotics
SS 18 Lecture Exercise Cognitive Systems
SS 19 Lecture Exercise Cognitive Systems

Thesis and Project Offers

If you are interested in a Thesis, Seminar, Semester Project or HiWi position in biomimetic robots or neural network learning have a look at the current offers or contact me to discuss your personal preferences.

We always have open tasks for Forschungspraktikum e.g. in MSE or Electrical Engineering.

Publications

2018

  • Feldotto, Benedikt; Orpana, Markus; Knoll, Alois: A Control Hierarchy Inpspired by the Spinal Cord to Exploit Self-Organizing Motion Primitives for Purposeful Trajectory Generation. Proceedings of The 28th Annual Conference of the Japanese Neural Network Society, 2018 more…
  • Feldotto, Benedikt; Walter, Florian; Röhrbein, Florian; Knoll, Alois: Hebbian learning for online prediction, neural recall and classical conditioning of anthropomimetic robot arm motions. Bioinspiration & Biomimetics 13 (6), 2018, 066009 more…

2017

  • Albanese, Ugo; Sharma, Kenny; Feldotto, Benedikt; Akl, Mahmoud; Weber, Sandro; Mahmud, Hossain; Angelidis, Manos; von Arnim, Axel; Cantero, Kepa; Hinkel, Georg; Aichele, Fabian; Welter, Michael; Murphy, Susie; Guyot, Luc; Sousa, Claudio; Schmid, Yves; Gewaltig, Marc-Oliver: HBP Neurorobotics Platform. Zenodo, 2017 more…
  • Feldotto, Benedikt; Walter, Florian; Röhrbein, Florian: Hebbian Learning Based Sensorimotor Association in a Closed-Loop Neurorobotic Experiment. Bernstein Conference 2017, 2017, W42 more…