Scholar
Lucy Xiaoyang Shi
Google Scholar ID: KUc7JJoAAAAJ
Stanford University, Physical Intelligence
Citations & Impact
Citations
826
H-index
9
i10-index
8
Publications
11
Co-authors
12
list available
Publications
Resume (English only)
Academic Achievements
- Published multiple papers including 'Ctrl-World: A Controllable Generative World Model for Robot Manipulation' (in submission), 'Hi Robot: Open-Ended Instruction Following with Hierarchical Vision-Language-Action Models' (ICML 2025), 'Yell At Your Robot: Improving On-the-Fly from Language Corrections' (RSS 2024), and more; co-organized several workshops such as Learning Effective Abstractions for Planning (LEAP) workshop at CoRL 2025.
Research Experience
- Worked with Yuke Zhu and Jim Fan at NVIDIA Research; currently a researcher at Physical Intelligence (Pi).
Education
- PhD in Computer Science at Stanford University, advised by Chelsea Finn; Bachelor's degree in Computer Science from USC, advised by Joseph J. Lim and Youngwoon Lee.
Background
- A CS PhD student with a broad interest in robot learning, aiming to create general-purpose robots that can perform complex, long-horizon tasks. She believes in human ingenuity and the potential of AI, with a 20-year goal to become a university professor and establish the next Bell Labs.
Miscellany
- Invited to give talks at various conferences and workshops, including Multi-Modal Reasoning for Agentic Intelligence workshop at ICCV 2025 and Robot Planning in the Era of Foundation Models workshop at RSS 2025.
