3rd SEMINAR – OLIVER BROCK

The ELLIS Unit Barcelona organizes the third seminar in the seminar series!

They aim to bring to Catalonia leading ELLIS researchers in the area of machine learning and AI to share their latest findings and give the audience the chance to connect and interact with the invited speakers.

Our third seminar will feature a talk by Prof. Oliver Brock, who will speak on “Robotics As a Science of Intelligence”.

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DETAILS

📆 Wednesday 2 April, 2025

🕙️ 11:00 h – 12:00 h

📍 Ateneu Barcelonès (Sala Oriol Bohigas), Barcelona

SEMINAR SCHEDULE

Technische Universität Berlin; ELLIS Fellow, Member of Robot learning: closing the reality gap! ELLIS Program.

Robotics As a Science of Intelligence

Prof. Oliver Brock

Oliver Brock is the Alexander-von-Humboldt Professor of Robotics in the School of Electrical Engineering and Computer Science at the Technische Universität Berlin. He received his Ph.D. from Stanford University in 2000 and held postdoctoral positions at Rice University and Stanford University. He was an Assistant and Associate Professor in the Department of Computer Science at the University of Massachusetts Amherst before moving back to Berlin in 2009. The research of Brock’s lab, the Robotics and Biology Laboratory, focuses on embodied intelligence, mobile manipulation, interactive perception, grasping, manipulation, soft material robotics, interactive machine learning, motion generation, and the application of algorithms and concepts from robotics to computational problems in structural molecular biology. Oliver Brock directs the Research Center of Excellence “Science of Intelligence”. He is an IEEE Fellow and was president of the Robotics: Science and Systems Foundation from 2012 until 2019.

Everyone talks about intelligence but we don’t really know what it means. I will talk about the activities of the research center “Science of Intelligence” in Berlin, in which scientists from many different disciplines collaborate to discover a constructive definition of intelligence.  I know, sounds crazy, but I think we have an interesting story. I will tell you that story and support it with empirical robotics research from my lab. In this research, we show that – for the problems we study – our view of intelligence is more effective than the dominant approach to AI based on data, compute, and deep learning.