I am Yufei Zhu, a final-year doctoral student at the Robot Navigation & Perception Lab, Örebro University in Sweden, under the supervision of Martin Magnusson, with co-supervision by Andrey Rudenko, Tomasz P. Kucner, and Achim J. Lilienthal. I am working on the EU Horizon 2020 project DARKO and affiliated with Wallenberg AI, Autonomous Systems and Software Program (WASP).

My research focuses on learning probabilistic representations of human motion patterns (maps of dynamics, MoDs) for goal inference, constraints and preferences, enabling multi-modal long-term human motion prediction. Additionally, I work on enhancing the efficiency and flexibility of learning these patterns, including online updates with new observations and model continuous motion patterns over space using neural implicit representations.

Previously, I was a software engineer at Klarna AB and Ericsson AB in Stockholm, Sweden.

Github  /  Google Scholar  /  LinkedIn  /  Email