Xinjie Liu

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Hello and welcome! I am a Master’s student at the Department of Cognitive Robotics (CoR) at the Delft University of Technology, working with Prof. Javier Alonso-Mora. I am interested in developing robust algorithms for control, planning, and decision-making of autonomous systems in dynamic and uncertain environments. In particular, I am motivated by enabling robots to interact safely and efficiently with one another and with humans.

Before that, I received my bachelor’s degree with honor in Automotive Engineering from Tongji University, Shanghai. During my senior year, I studied as a visiting undergraduate student at Graz Univerisity of Technology, Austria. My bachelor’s thesis was on interactive imitation learning of robot tasks, supervised by Prof. Youling Yu at the College of Electronic and Information Engineering. There, my work was rated as Outstanding Bachelor Thesis at Tongji University.

I am working on my master’s thesis and finished the first project from June to October 2022 (topics: game-theoretic planning, objective inference, model-based RL), which is available on the ‘projects’ page.

Keywords: optimization, control theory, dynamic game theory, (reinforcement) learning for control


news

Jan 24, 2023 I gave an invited talk at the Safe Robotics Laboratory, Princeton [slides]. Thanks for the invitation!
Dec 1, 2022 Our work “Learning to Play Trajectory Games Against Opponents with Unknown Objectives” has been submitted and is now available! Please check out the preprint version here.
Jun 30, 2022 We won the Hackathon challenge at the European Robotics Forum 2022! (Post from the sponsor Franka Emika)