Interesting discussion with Jan Peters, a Professor of Intelligent Autonomous Systems at the Department of Computer Science of the Technische Universität Darmstadt and Head of the Robot Learning Group at the Max Planck Institute for Intelligent Systems. In this episode, Jan shares his broad expertise in soft robotics and machine learning, the trade-off between the models and data? What is the level of modeling in order to allow the planning to accomplish a task? Do we need more data-driven approaches? The importance of antagonistic actuator design for robust, and safe interaction. Fast Soft Robot Should Be More Predictive and Less Relying on Feedback.

I hope you would find this episode useful :)