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) that encode environment-level spatio-temporal dynamics, enabling long-term human motion prediction and human-aware robot navigation. I advance these representations through implicit neural representations for continuous spatio-temporal motion fields, online adaptation to evolving environments, and integration into generative models such as flow matching, toward controllable multi-modal trajectory generation. Previously, I was a software engineer at Klarna AB and Ericsson AB in Stockholm, Sweden. Research topics: Human Motion Prediction Spatiotemporal Pattern Learning Probabilistic Modeling Neural Implicit Representations Generative Modeling CV  /  Github  /  Google Scholar  /  LinkedIn Contact yufei.zhu@oru.se   |   yufei.zhu@outlook.com

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  2022 Mar - 2026 Sep (expected): PhD Student in Computer Science at Örebro University, Sweden.
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  2026 Mar - 2026 Aug: Visiting researcher at UC San Diego, USA. Working with Rose Yu on controllable generative models for human motion generation under physical constraints.
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  2025 Jan - 2025 Mar: Research Intern at Miraikan Accessibility Lab, Tokyo, Japan. Worked with with Allan Wang on robot navigation through dense human crowds, aligning with compatible crowd flows for safe and efficient navigation.
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  2024 Mar - 2024 Sep: Research Intern at Robert Bosch GmbH Corporate Research, Stuttgart, Germany. Worked with Andrey Rudenko, Luigi Palmieri, and Narunas Vaskevicius on online learning of human motion patterns in changing environments.
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  2015 Sep - 2017 Jul: Master of Science in System, Control and Robotics, at KTH Royal Institute of Technology, Sweden.

Jun, 2025: Demonstrated Maps of Dynamics and real-time human motion prediction on the DARKO robot at the Automatica exhibition in Munich, Germany.

Jun, 2025: Final integration and milestone demonstration of the EU Horizon 2020 project DARKO (2021 - 2025), in KI.FABRIK, Deutsches Museum, Munich, Germany.

May, 2025: Presented our paper, online-CLiFF, in ICRA 2025, Atlanta, USA.

Jan, 2025: Worked in Miraikan Accessibility Lab as a research intern. Developed hierarchical crowd-flow alignment navigation methods for dense human environments, in Tokyo, Japan.

Oct, 2024: Finished mid-term seminar in Örebro University.

Sep, 2024: Presented our paper, Trajectory Prediction for Heterogeneous Agents: A Performance Analysis on Small and Imbalanced Datasets, in ICRA@40, Rotterdam, Netherlands.

Sep, 2024: Completed 6 month research internship in Robert Bosch GmbH in Stuttgart, Germany.

May, 2024: Presented our paper, LaCE-LHMP, in ICRA 24, Yokohama, Japan.

Oct, 2023: Presented our paper, CLiFF-LHMP, in IROS 23, Detroit, USA.

May, 2023: Presented our workshop paper in 5th LHMP workshop in ICRA 23, London, United Kingdom.

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