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.