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 :)

Soft Robotics With Jan Peters

Hey! I am Marwa ElDiwiny, the host and creator of the Soft Robotics podcast. I started this podcast for a reason, one of them was to ask the questions I always wanted to ask when I was in the lab and reignite my curiosity by talking to interesting people. I found my purpose in this podcast, I hope it may inspire someone somehow along this journey!

Soft Robotics With Jan Peters

Soft Robotics Podcast