4. Symposium

Our fourth symposium will be held on Monday and Tuesday, February 1 to 2, 2016, at Magnus Haus Berlin, Kupfergraben 7, 10117 Berlin

We are in the middle of the SPP’s 2nd phase. The objective of this meeting is to discuss our current and long-term research goals and trends, as well as to foster collaborations. Furthermore, we would like to give time for discussions on a higher level about various topics.

PIs, please prepare a short (10 minutes) presentation to summarize the objectives and results of your project. For each project, please also prepare a simple poster (DIN A1 portrait) for the extended poster session on Monday evening, which will allow for more direct interaction and discussion of your research and technical aspects.

Programme

Monday, February 1, 2016

09:30 – 09:45 Reception with Coffee

09:45 – 10:00 Welcome and information

Marc Toussaint, Marion Lange (Stuttgart/Berlin): The Priority Programme and it’s 2nd phase

10:00 – 11:15 Block 1: Robotics

Tamim Asfour (Karlsruhe), Helge Ritter (Bielefeld), Robert Haschke (Bielefeld): Robots Exploring Tools as Extensions to their Body Autonomously (REBA+)

Sven Behnke (Bonn), Wolfram Burgard (Freiburg): Autonomous Active Object Learning Through Robot Manipulation

Oliver Brock (Berlin), Marc Toussaint (Stuttgart): The Physical Exploration Challenge: Robots Learning to Discover, Actuate, and Explore Degrees of Freedom in the World

Discussion. E.g.: Tools, object affordances, sequential manipulation – there should only be one theory behind all this. If ‘Autonomous Learning’ also means ‘generic learning’, do we achieve this with the current approaches? What are the limitations of our approaches?

11:15 – 11:30 Coffee break

11:30 – 12:30 Discussion session instigated by Helge Ritter
Optimality approaches – are they always our best lanterns to insight in robotics?

12:30 – 13:30 Lunch Buffet at Magnus Haus

13:30 – 15:30 Block 2: Reinforcement Learning

Klaus Obermayer (Berlin): Linking metric and symbolic levels in autonomous reinforcement learning

Nihat Ay (Leipzig): An information theoretic approach to autonomous learning of embodied agents

Gerhard Neumann, Jan Peters (Darmstadt): Learning Modular Policies for Robot Motor Skills

Jan Peters (Darmstadt), Joschka Bödecker (Freiburg): Scalable Autonomous Reinforcement Learning – From scratch to less and less structure

Discussion. E.g.: If it ‘scales’ to a thousand dimensions (in a vector space representation), does that imply that it scales to structured worlds? There is stubborn researchers that believe in some form of planning (on learned models/representations) – do people agree? How does this integrate with the above approaches?

15:30 – 16:00 Coffee and cake

16:00 – 17:00 Discussion session instigated by Wolfram Burgard TBA

17:00 – 18:00 Discussion session on the future of our Priority Programme
Is there some kind of follow up, not necessarily an SPP, but maybe?
(SPP organizational, collaborations, lab rotations, the final summer school)

18:00 Dinner Buffet with Poster Session at Café Wilhelm (Kupfergraben 4a)

Tuesday, February 2, 2016

09:15 – 09:30 Reception with Coffee

09:30 – 11:00 Block 3: Perception and interaction

Bernhard Sick (Kassel): Organic Computing Techniques for Run-Time Self-Adaption of Multi-Modal Activity Recongnition Systems

Daniel Cremers, Rudolf Triebel (München): Efficient Active Online Learning for 3D Reconstruction and Scene Understanding

Barbara Hammer (Bielefeld), Niels Pinkwart (Berlin): Learning Dynamic Feedback in Intelligent Tutoring Systems

Discussion. E.g.: Reinforcement Learning, tutoring/optimal teaching, active querying, learning from demonstration are all forms of ‘social interaction’ – might there be a common framework for such ‘cognitive interaction technologies’?
How can computer vision research and robot perception grow back together again?

11:00 – 11:15 Coffee break

11:15 – 12:15 Discussion session instigated by Tamim Asfour On Dualities and Force

12:15 – 13:15 Lunch Buffet at Magnus-Haus

13:15 – 15:15 Block 4: Deep & auto ML

Reinhold Häb-Umbach (Paderborn): Bayesian Learning of a Hierarchical Representation of Language from Raw Speech

Thomas Brox (Freiburg), Frank Hutter (Freiburg), Philipp Henning (Tübingen): Auto-Tune: Structural Optimization of Machine Learning Frameworks for Large Datasets

Lars Schmidt-Thieme (Hildesheim): Hyperparameter Learning Across Problems

Jörg Lücke (Oldenburg): Autonomous and Efficiently Scalable Deep Learning

Discussion. E.g.: So, does deep learning (or auto ML, variants) now solve everything? When some people say ‘deep learning → AI’, what are they missing?

15:15 – 15:45 Coffee and cake

15:45 – 16:45 Discussion session instigated by Oliver Brock Are roboticists the better deep learners?

16:45 – 17:00 Results, agreements and closing remarks

17:00 End of Symposium