Lulu Zhao | 赵璐璐

I am a first-year Robotics Ph.D. student at the field of Computer Science, Cornell University. Previously, I received my Bachelor's degree from Beijing Normal University in 2025. During my internship at Carnegie Mellon University, I was honored to be advised by Prof. Nancy Pollard, where I worked on dexterous robotic hands. Later, as part of an exchange semester at the Chinese University of Hong Kong (CUHK), I continued to advance my research in dexterous manipulation.

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News

  • [2025/08]🚀 I joined the filed of Computer Science at Cornell University to pursue a Ph.D. in Robotics.
  • [2025/05]🎉 Manipulating Elasto-Plastic Objects With 3D Occupancy and Learning-Based Predictive Control was accepted by RA-L 2025!

  • Research Interets

    Currently, my research centers on equipping robots with adaptive manipulation skills and lifelong learning capacities. Specifically, I aim to help robots adapt to diverse scenarios by inferring physically and spatially grounded representations from perceptual inputs. Representative works are highlighted.


    Experience
    Department of Mechanical and Automation Engineering at the Chinese University of Hong Kong
    2024.09 - 2024.12
    Research Intern
    Research Advisor: Prof. Xiangyu Chu, Prof. Kwok Wai Samuel Au.
    Robotics Institute at Carnegie Mellon University
    2024.06 - 2024.08
    Research Intern
    Research Advisor: Prof. Nancy Pollard.

    Education

    Beijing Normal University (BNU)
    2021.09 - 2025.06
    Bachelor of Engineering, Major in Artificial Intelligence.
    The Chinese University of Hong Kong (CUHK)
    2024.09 - 2024.12
    Exchange @ International Asian Studies Program.

    Selected Awards and Honors

  • First Prize @ Beijing Normal University Scholarship
  • Outstanding Student Award @ Huawei OpenHarmony Innovation Contest 2023
  • Second Prize @ Beijing Division, China Undergraduate Mathematical Contest in Modeling 2023
  • First Prize @ 20th World-Wide Chinese Students Essay Writing Competition

  • This homepage is designed based on Jon Barron's website and deployed on GitHub Pages.
    © 2025 Lulu Zhao.