CNR 2015: Lectures: Sebastian Risi (GER): Bio-inspired, Automated Design of Machine Bodies and Artificial Brains
He has won several best paper awards at GECCO and IJCNN for his work on adaptive systems and the HyperNEAT algorithm for evolving complex artificial neural networks. He also co-founded FinchBeak, a company that creates casual and educational social games enabled by evolutionary AI technology.
Understanding the essential properties of natural evolution that made it possible to discover highly complex systems can help to create a new generation of autonomous, self-organizing and adaptive machines.
In this talk, he will show how novel bio-inspired technologies allow for the creation of more brain-like neural networks with regularities and repeating motifs, and enable the automated design of reusable robot morphologies. This talk will also introduce recent work on how to best exploit human intuition and to combine human and machine design capabilities to facilitate the creation of complex structures.
The ultimate goal of this research is to narrow the gap between artificial and natural systems, with applications in artificial brains, robot morphologies, games, music and design.
[image source: Sebastian Risi]
[source: Vive Les Robots!]
Sebastian Risi is an associate professor at the IT University of Copenhagen where he co-directs the Robotics, Evolution and Art Lab (REAL).
His interests include neuro-evolution, evolutionary robotics and design automation. Risi has a PhD in computer science from the University of Central Florida.
Bio-inspired, Automated Design of
Machine Bodies and Artificial Brains
Sebastian Risi will present his lecture "Bio-inspired, Automated Design of Machine Bodies and Artificial Brains" at Cafe Neu Romance on the 28 November 2015 at NTK.