Program

TOPICSPROGRAMREGISTRATIONPRACTICAL – COMMITTEE – STUDENT PRIZES

8:15 Welcome and mingling (registration / coffee)


8:55 Workshop opening by Egil Trømborg, Dean of the Faculty of Technology, Art and Design at OsloMet


9:00 Keynote 1:Prof. Sebastian Risi

Creating Adaptive Machines through Evolutionary-based Meta Learning

Prof. Sebastian Risi (ITU Copenhagen and UBER AI Lab)


10:00 Technical presentations (3×15 min)

Strong vs. Weak AI, Rikke Amilde Løvlid (FFI)

Drones, Autonomy, and Smart Sensors, Richard Moore (SINTEF Digital)

Advances in Online Adaptive Systems and Applications, Anis Yazidi (OsloMet)


10:45 Coffee break


11:00 Technical presentations (4×15 min)

Ethical Robots and Autonomous Systems, Jim Tørresen (UiO)

Robots, Autonomy and Agriculture, Lars Grimsad (NMBU)

Autonomous Robots for Search and Rescue Operations: From Snake Robots to Quadcopters, Filippo Sanfilippo (HSN)

Autonomy and Marine Robotics, Even Børhaug (Kongsberg group)


12:00 Lunch and mingling


12:45 Posters and demo


14:00 Lightning talks (10 X 5 min, 3 min talks + 2 min for 1 question & change presenter)


15:00 Keynote 2:Prof Gunnar Tufte (NTNU)

Maverick Machines: from Self-organising Materials to Intelligence

Prof Gunnar Tufte (NTNU)


16:00 Award ceremony for best poster/demo, best student presentation, etc.


16:25 Workshop closing by Ralph W. Bernstein, Head of Department of Mechanical, Electronics and Chemical Engineering at OsloMet.


16:30 pizza


Keynotes:

Creating Adaptive Machine through Evolutionary-based Meta Learning

Sebastian Risi is an Associate Professor at the IT University of Copenhagen where he is part of the Center for Computer Games Research and the Robotics, Evolution and Art Lab (REAL). His interests include computational intelligence in games, neuroevolution, deep learning, evolutionary robotics and human computation. Risi completed his PhD in computer science from the University of Central  Florida. He has won several best paper awards at GECCO, EvoMusArt, IJCNN, and the Continual Learning Workshop at NIPS for his work on adaptive systems, the HyperNEAT algorithm for evolving complex artificial neural networks, and music generation. He was a co-founder of FinchBeak, a company that focused on casual social games enabled by AI technology and is a research consultant for Uber AI labs. Recently he co-founded modl.ai, a company that develops AIs that decide and respond like humans in a wide range of specific situations.

Maverick Machines: from Self-organising Materials to Intelligence

Gunnar Tufte is a Professor at the Department of Computer and Information Science at the Norwegian University of Science and Technology. Tufte obtained his Ph.D. degree in computer science from the Norwegian University of Science and Technology in 2004. His main research interests include evolution-in-materio, vast parallel architectures, bio-inspired hardware, artificial development, evolvable hardware, artificial life and complex & adaptive systems. Dr. Tufte has worked on evolution of nanoscale information processing devices within the EU FP7 FET project NASCENCE, and currently works on computation in biological neurons and nanomagnets within the NFR Socrates project.