I am a fourth-year PhD student in Robotics at the Georgia Institute of Technology, where I am advised by Zsolt Kira and
Danfei Xu. I also work closely with Ye Zhao.
I was supported by the IRIM PhD Fellowship.
My research focuses on physically grounded robot learning and autonomy,
with an emphasis on humanoid systems and physical interaction.
I study how learning and physical models can enable versatile behavior and expand robots' capabilities for interacting with the world.
I am currently a part-time student researcher at Meta.
[2025/06] Our SkinGrip paper accepted to IROS 2025.
[2025/04] I passed my Ph.D. qualifying exam.
[2023/04] I've been awarded the IRIM Fellowship.
[2023/01] Our multimodal grasping paper accepted to IEEE Transactions on Robotics (T-RO).
Research
I study how robots can acquire versatile whole-body skills and expand their capabilities for physical interaction.
My research aims to advance physical AI by grounding learning and autonomy in physical knowledge, enabling robots to make effective use of their bodies and environments.
My recent work takes a full-stack approach: learning robust humanoid skills from dynamically feasible trajectories (Opt2Skill), connecting vision-language-action policies with explicit motion and force commands (Opt2VLA), and expanding humanoid capabilities through supernumerary limbs and whole-body coordination (Humanoid-SRL).
More broadly, my research connects robot learning, physical interaction, and autonomy, with an emphasis on grounding intelligent behavior in the capabilities and constraints of the physical world.
If you're interested in my research or potential collaborations, please drop me an email.
