Paul Schydlo

"What I cannot create, I do not understand." - R. Feynman

The mind is a fascinating piece of matter. Is it made up of discrete, interacting components or an emergent phenomena ruled by simple laws? Or something completely different?

I am driven by the thought of replicating the processes which allow us to see and understand the world.

At the moment I specialize in view invariant representation learning from monocular video. Which helps us understand questions such as: How do we represent context and recognize intent? How can we teach robots to be better team members?

Research Interests

Publications

Anticipation in Human-Robot Cooperation: A Recurrent Neural Network Approach for Multiple Action Sequences Prediction
Paul Schydlo, Mirko Rakovic, Lorenzo Jamone, José Santos-Victor
International Conference on Robotics and Automation (ICRA) 2018
[paper]

Personal Projects

Teaching Experience

Awards

Education

2012-2017 Instituto Superior Técnico, Lisbon, Portugal
Integrated M.Sc. Electrical and Computer Engineering, major in Systems, Decision and Control
2015 Technical University Delft, Netherlands
M.Sc. Systems and Control, Erasmus exchange semester