Jump to Project Demonstrations
Constantin Rothkopf. Understanding what AI models can – and can't – do
30.01.2025
Interview with Dr. Simone Schaub-Meyer, early career researcher in the cluster project “RAI”
Jan Peters. Inductive Biases for Robot Reinforcement Learning
15.04.2023
CSL Seminar 2023
Angela Yu. How intelligent behaviour works
16.12.2022
Alexander von Humboldt-Stiftung
Stefan Roth. Bildanalyse und Bildverstehen für das autonome Fahren
10.09.2022
132. Versammlung der GDNÄ „Wissenschaft im Bild“
Constantin Rothkopf. Putting perception into action
27.08.2022
CCN Keynote, Putting perception into action: Inverse optimal control for continuous psychophysics
Jan Peters. Robot Learning
21.06.2022
AIDA Excellence Lecture Series 23
Constantin Rothkopf. AdaptiFont
28.04.2022
Rhein-Main-TV
Constantin Rothkopf. Interview
28.04.2022
Rhein-Main-TV
Kristian Kersting. The Third Wave of AI
21.10.2021
C4AI Perspectives in AI seminar
Kristian Kersting. The 3rd wave of AI – combining symbolic and statistical methods
30.09.2021
GCPR 2021 – Unsolved Problems in Pattern Recognition
Kristian Kersting. Einsatz von Künstlicher Intelligenz
04.03.2021
Plattform Lernende Systeme
Kristian Kersting. Systemische KI
13.10.2020
Weizsäcker-Zentrum Universität Tübingen
Stefan Roth. Launch of ELLIS Unit Damstadt
15.09.2020
ELLIS (European Lab for Learning & Intelligent Systems)
Jan Peters. Reinforcement Learning
19.08.2020
SMILES – Summer School of Machine Learning at SK 2020
Constantin Rothkopf & Kristian Kersting. Helena. Die Künstliche Intelligenz.
19.12.2019
Bayerischer Rundfunk: Helena. Die Künstliche Intelligenz. Folge 5: Gut oder böse
„Kann KI moralische Entscheidungen treffen?“, mit Constantin Rothkopf und Kristian Kersting
Online until 22.10.2024
Jan Peters. Doing Reinforcement Learning on Robots
15.10.2019
2019 CIFAR DLRL Summer School Lectures, Amii Intelligence
Jan Peters. Policy Search Methods for Robotics
15.10.2019
2019 CIFAR DLRL Summer School Lectures, Amii Intelligence
Jan Peters. TUM Robotics Symposium 2018
14.03.2019
MIRMI – Robotics and Machine Intelligence
Jan Peters. My journey towards robots that learn!
07.02.2019
TEDxRheinMain
André Seyfarth. Locomotion Biomechanics
MRMCD
04.09.2016
Ralf Galuske. Connectivity in the human brain: The connectome and beyond
22.10.2014
IKIDA. Interactive Reinforcement Learning With Bayesian Fusion of Multimodal Advice
see: Trick, S., Herbert, F., Rothkopf, C., & Koert, D. (2022). Interactive Reinforcement Learning With Bayesian Fusion of Multimodal Advice. IEEE Robotics and Automation Letters, 7(3), 7558-7565. DOI PDF (opens in new tab)
IKIDA. Adapting Object-Centric Probabilistic Movement Primitives with Residual Reinforcement Learning
see Carvalho, J., Koert, D., Daniv, M., Peters, J. (2022). Adapting Object-Centric Probabilistic Movement Primitives with Residual Reinforcement Learning. Proceedings of the International Conference on Humanoid Robots (HUMANOIDS) 2022 (accepted) PDF (opens in new tab)
IKIDA. Learning from Unreliable Human Action Advice in Interactive Reinforcement Learning
see Scherf, L.; Turan, C., Koert, D. (2022). Learning from Unreliable Human Action Advice in Interactive Reinforcement Learning. 2022 IEEE-RAS 21st International Conference on Humanoid Robots (Humanoids). PDF (opens in new tab)
KoBo34. Assistant robot Kobo learns how to prepare a tray of snacks
WhiteBox. Project Introduction
