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Students

  1. Buerjiang Abuding, MPhil, University of Cambridge
    Learning to Synchronize in Active Matter
    2025-2026

  2. Luca Vendrusco, MPhil, University of Cambridge
    Recurrent Downwash Models for Fast and Agile Multirotor Flight
    2025-2026

  3. Mingqian Zhou, MPhil, University of Cambridge
    A Multi-Agent Foundation Model for Universal Cooperative Behaviours
    2025-2026

  4. Hannes Büchi, MPhil, ETHZ & University of Cambridge
    Controlling Diversity at Scale in Multi-Agent Reinforcement Learning via Hypernetworks
    2025-2026

  5. Matthew Zhang, undergrad, University of Cambridge
    Interpretable Multi-Agent Reinforcement Learning Policies
    2024-2025

  6. Nicolas Pfitzer, MPhil, ETHZ & University of Cambridge
    Natural Language-Driven Multi-Agent Exploration and Search
    2024-2025

  7. Absjorn Thede-Lorenzen, MPhil, University of Cambridge
    Language-Driven Formation Control: Coordinating Robotic Swarms with LLMs
    2024-2025

  8. Charlotte Dong, undergrad, UCSD
    Video-to-Automata Learning for Robot Task Planning
    2024-2025

  9. Weixiao Zhan, MS student, UCSD
    Video-to-Automata Learning for Robot Task Planning
    2024-2025

  10. Maitrayee Keskar, MS student, UCSD
    Multi-Agent Reinforcement Learning for Distributed Multi-Robot Games
    2024-2025

  11. Eeman Iqbal, MS student, UCSD
    Multi-Agent Reinforcement Learning for Distributed Multi-Robot Games
    2024-2025

  12. Max Irby, MS student, UCSD
    Multi-Agent Reinforcement Learning for Distributed Multi-Robot Games
    2024-2025

  13. Jesus Roche, undergrad, University of Zaragoza
    Curriculum Imitation Learning for Distributed Multi-robot Problems
    2023-2024