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 Flagship project "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. Alongside his research focus he is a developer of the Neurorobotics Platform, a cloud based simulation platform for embodied learning experiments, and since 2017 lead developer of the NRP Robot Designer, a plugin for the 3D modelling suite Blender to build robotic and musculoskeletal simulation models. Additional discussions about ethical concerns arising with learning robots joining our daily life are very welcomed.
2016/05 “Artificial Intelligence – The Beginning or Ending of a better World?”, organization of discussion evening (~200 attendees) with Prof. Klaus Mainzer, KHG LMU Munich
Awards
2018 Best Poster Award - Graduate School of Bioengineering
Teaching
SS 17
Masterpraktikum
Roboy - Simulation and Human Brain Project Integration
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.
- There is currently no open thesis topics available. -
Kuniyoshi, Yusuke; Kuriyama, Rin; Omura, Shu; Gutierrez, Carlos Enrique; Sun, Zhe; Feldotto, Benedikt; Albanese, Ugo; Knoll, Alois C.; Yamada, Taiki; Hirayama, Tomoya; Morin, Fabrice O.; Igarashi, Jun; Doya, Kenji; Yamazaki, Tadashi: Embodied bidirectional simulation of a spiking cortico-basal ganglia-cerebellar-thalamic brain model and a mouse musculoskeletal body model distributed across computers including the supercomputer Fugaku. Frontiers in Neurorobotics 17, 2023 more…
Feldotto, Benedikt; Lengenfelder, Heiko; Röhrbein, Florian; Knoll, Alois C.: Network Layer Analysis for a RL-Based Robotic Reaching Task. Frontiers in Robotics and AI 9, 2022 more…
Feldotto, Benedikt; Morin, Fabrice O.; Knoll, Alois: The Neurorobotics Platform Robot Designer: Modeling Morphologies for Embodied Learning Experiments. Frontiers in Neurorobotics 16, 2022 more…
Feldotto, Benedikt; Morin, Fabrice O.; Knoll, Alois: The Neurorobotics Platform Robot Designer: Modeling Morphologies for Embodied Learning Experiments. Frontiers in Neurorobotics 16, 2022 more…
Feldotto, Benedikt; Soare, Cristian; Knoll, Alois; Sriya, Piyanee; Astill, Sarah; de Kamps, Marc; Chakrabarty, Samit: Evaluating Muscle Synergies with EMG Data and Physics Simulation in the Neurorobotics Platform. Frontiers in Neurorobotics, 2022 more…
2021
Schmidt, Annika; Feldotto, Benedikt; Gumpert, Thomas; Seidel, Daniel; Albu-Schäffer, Alin; Stratmann, Philipp: Adapting Highly-Dynamic Compliant Movements to Changing Environments: A Benchmark Comparison of Reflex- vs. CPG-Based Control Strategies. Frontiers in Neurorobotics 15, 2021 more…
2019
Feldotto, Benedikt; Walch, Blasius; Koch, Patrick; Dendorfer, Sebastian; Knoll, Alois: Co-Development of an Infant Prototype in Hardware and Simulation based on CT Imaging Data. Proceedings IEEE International Conference on Cyborgs and Bionic Systems, 2019 more…
Tenbrink, Lukas; Feldotto, Benedikt; Röhrbein, Florian; Knoll, Alois: Motion Prediction of Virtual Patterns, Human Hand Motions and a simplified Hand Manipulation Task with Hierarchical Temporal Memory. Proceedings IEEE International Conference on Cyborgs and Bionic Systems, 2019 more…
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…
