I am fourth year PhD student in Robot Learning at TU Darmstadt (Germany) in the Intelligent Autonomous Systems lab, advised by Prof. Jan Peters. In 2022-2023, I was a research intern in Nvidia's Robot Learning Lab lead by Prof. Dieter Fox. My research interests lie in the interplay of robotics and machine learning. In particular I explore the combination of fields such as generative modelling, motion planning, optimal control, deep learning, Riemannian geometry and physics. My primary goal is to find out the algorithmic foundations for intelligent robot behaviors. My research vision entails studying the optimal integration of the structured requirements for robotics systems with learning and optimization. Much of my previous work has focus on the adaptation of the advances in generative modelling to represent robot motions. This lead me to design motion generation architectures and explore the connections between Imitation Learning to Generative Modelling.
I am looking for robotics research positions for 2024 onwards. Also open for potential collaborations or chatting about common interests. So do not hesitate in contacting me :)
Julen Urain, Niklas Funk, Jan Peters and Georgia Chalvatzaki
ICRA 2023 / Best Paper award in Geometric Representations Workshop
Julen Urain, Davide Tateo, Jan Peters
Robotics and Automation Letters (RA-L) 2022 / ICRA 2023
Julen Urain, Alexander Lambert, An Thai Lee, Byron Boots, Jan Peters
Intelligent Robot and Systems (IROS) 2022
Julen Urain, Anqi Li, Puze Liu, Carlo D'Eramo, Jan Peters
Robotics Science and Systems (R:SS) 2021 / International Journal on Robotics Research (IJRR)
Niklas Funk, Charles Schaff, Rishabh Madan, Takuma Yoneda, Julen Urain De Jesus, Joe Watson, Ethan K Gordon, Felix Widmaier, Stefan Bauer, Siddhartha S Srinivasa, Tapomayukh Bhattacharjee, Matthew R Walter, Jan Peters
Robotics and Automation Letters (RA-L) 2021
Julen Urain, Michelle Ginesi, Davide Tateo & Jan Peters
Intelligent Robot and Systems (IROS) 2020