I am a third-year Ph.D. student in Computer Science at the University of Southern California, where I am co-advised by Daniel Seita and Gaurav Sukhatme.
My goal is robot dexterity that holds up outside the lab.
My research focuses on robot learning for dexterous manipulation. I aim to enhance robotic capabilities under resource constraints by effectively leveraging diverse data sources and available physical resources.
A key emphasis of my work is extending task horizons, enabling robots to perform long-horizon, multi-stage tasks and multitasking, as well as more delicate behaviors such as nonprehensile manipulation. Ultimately, my goal is to advance robotic manipulation toward human-level dexterity, enabling robots to learn, adapt, and interact with the physical world more effectively.