Publications: A review paper on learning-based dynamics models for robotic manipulation published in Science Robotics (2025); Three papers accepted to CoRL 2025; RoboPack presented in three workshops at ICRA 2024.
Research Experience
Work Experience: Intern at Physical Intelligence; Summer intern at Boston Dynamics AI Institute; Visiting student at Stanford Vision and Learning Lab. Research Projects: World modeling with multi-modal perception for robotic manipulation; Mobile manipulation; World model learning; Robot navigation.
Education
Degree: Bachelor's in Computer Science and Statistics; School: National University of Singapore; Advisor: David Hsu; Time: Not explicitly stated; Major: Computer Science and Statistics.
Background
Research Interests: Cross-embodiment robot intelligence, including learning from the collective experience of diverse robots, transferring to new hardware, and continually improving over time. Professional Field: Computer Science and Statistics. Background: Currently a second-year CS PhD student at UC San Diego, focusing on developing foundation models that adapt to worn motors, customized hardware, or even home-built robots without precise kinematic models.
Miscellany
Information about personal interests and hobbies is not provided.