Videos

Below you can find a selection of video content by members of the CCS

Angela Yu. How intelligent behaviour works

16.12.2022

Alexander von Humboldt-Stiftung

Constantin Rothkopf. Putting perception into action

27.08.2022

CCN Keynote, Putting perception into action: Inverse optimal control for continuous psychophysics

Constantin Rothkopf. AdaptiFont

28.04.2022

Rhein-Main-TV

Constantin Rothkopf. Interview

28.04.2022

Rhein-Main-TV

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)

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