Puze Liu

Puze Liu is a Senior Research Scientist and Deputy Head at the System AI for Robot Learning (SAIROL) department of the German Research Center for Artificial Intelligence (DFKI), with a secondary affiliation at the Intelligent Autonomous Systems group of the Technische Universität Darmstadt. He completed his Ph.D. at TU Darmstadt under Prof. Jan Peters, focusing on safe reinforcement learning for real-world robotics.

Education:

• Ph.D., Intelligent Autonomous Systems, TU Darmstadt
• M.Sc., Computational Engineering Science, Technische Universitaet Berlin

Research Interests include robotics, reinforcement learning, safe exploration, and human-robot collaboration, with a focus on deploying learned policies in dynamic environments. His work addresses safety in high-dimensional tasks through constraint manifolds and implicit neural representations.

Publication Trends span safe reinforcement learning, robot air hockey, kinodynamic planning, and reactive motion generation. Notable contributions include ReDSDF for real-time collision avoidance and ATACOM for constraint manifold control.

Scientific Awards

• Best Paper Award Finalist (CoRL 2021)
• Best Entertainment and Amusement Paper Award Finalist (IROS 2021)
• IROS Student Travel Award (2022)

Supervision includes mentoring students on topics like safe policy search, air hockey planning, and robot dynamics estimation. He is part of the SAIROL and Intelligent Autonomous Systems teams.