Research

My research lies in robotics, machine learning, and computer vision, with the primary goal of learning generalizable robot skills from two angles:

• Learning structured world models with spatial and temporal abstractions.
• Visual and motion pre-training to enable knowledge transfer from Internet-scale vision datasets and simulators.

Ultimately, my goal is to enable robots to assist humans in unstructured environments, particularly at home. To achieve this, many of my works consider tasks in deformable object manipulation, which are common in our daily lives but pose significant challenges for current robot systems.

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