Weiyu Liu
Scholar

Weiyu Liu

Google Scholar ID: PHi0YEQAAAAJ
Stanford
RoboticsMachine LearningArtificial Intelligence
Citations & Impact
All-time
Citations
1,289
 
H-index
17
 
i10-index
20
 
Publications
20
 
Co-authors
26
list available
Resume (English only)
Academic Achievements
  • Organized the CVPR 2025 Workshop on Foundation Models for Embodied Agents; served as an Area Chair (AC) for CoRL 2025; gave guest lectures and invited talks at various universities and conferences; selected as an RSS Pioneer; won First Place in Fetch It! The Mobile Manipulation Challenge.
Research Experience
  • Currently part of the research team at a stealth startup developing robotic foundation models; was a Postdoctoral Scholar working with Jiajun Wu in the Stanford Vision and Learning Lab (SVL); interned at NVIDIA Seattle Robotics Lab, working with Dieter Fox, Tucker Hermans, Animesh Garg, and Chris Paxton.
Education
  • Ph.D. in Robotics from Georgia Institute of Technology, advised by Sonia Chernova; Bachelor's degree in Electrical Engineering from Georgia Tech.
Background
  • Research interests include developing robots that can effectively perceive, model, and interact with the real world. Particularly interested in applications where human users can easily command robots to complete long-horizon tasks via simple language commands, such as 'make the tea'. The goal is to achieve strong generalization through a structured representation of world knowledge.
Miscellany
  • Looking for motivated and talented students to join his research group in Fall 2026; encourages students to publish one paper each year that they are genuinely proud to share, along with releasing code, datasets, etc.