Yunshuang Li

yunshuan@usc.edu

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.

Before USC, I did my master's at the GRASP Lab, University of Pennsylvania, where I worked with Jason Ma and Dinesh Jayaraman, and my undergraduate degree at Chu Kochen Honors College, Zhejiang University.

Yunshuang Li Yunshuang Li hiking

Research

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.

(* indicates equal contribution, † indicates equal advising)

IROS
HANDFUL: Sequential Grasp-Conditioned Dexterous Manipulation with Resource Awareness
Ethan Foong*, Yunshuang Li*, Hao Jiang, Gaurav Sukhatme, Daniel Seita
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2026
arXiv / project page / video / code
ICRA
Learning Geometry-Aware Nonprehensile Pushing and Pulling with Dexterous Hands
Yunshuang Li, Yiyang Ling, Gaurav Sukhatme†, Daniel Seita†
International Conference on Robotics and Automation (ICRA) 2026
arXiv / project page / video / code
CoRL
Task-Oriented Hierarchical Object Decomposition for Visuomotor Control
Jianing Qian, Yunshuang Li, Bernadette Bucher, Dinesh Jayaraman
Conference on Robot Learning (CoRL), 2024
arXiv / project page / video / code
RSS
DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset
DROID Dataset Team
Robotics: Science and Systems (RSS), 2024
arXiv / project page / video

ICRA
Universal Visual Decomposer: Long-Horizon Manipulation Made Easy
Zichen Zhang*, Yunshuang Li*, Osbert Bastani, Abhishek Gupta, Dinesh Jayaraman, Yecheng Jason Ma†, Luca Weihs†
LEAP worshop @ CoRL 2023 (Oral, Best paper award)
FMDM worshop @ NeurIPS 2023 (Oral, 6/112)
International Conference on Robotics and Automation (ICRA) 2024 (Best Computer Vision Paper Finalist)
arXiv / project page / video / code

ICRA
Open X-Embodiment: Robotic Learning Datasets and RT-X Models
Open X-Embodiment Team
International Conference on Robotics and Automation (ICRA) 2024 (Best Conference Paper Award)
arXiv / project page / video / code

CoRL
Vision-Based Contact Localization Without Touch or Force Sensing
Leon Kim, Yunshuang Li, Michael Posa, Dinesh Jayaraman
Conference on Robot Learning (CoRL), 2023
arXiv / project page / video / code


Misc.

Things I'm dexterous at that have nothing to do with robots: dancing, pilates, pickleball and (as of recently) baking.

Things I'm not: resisting LA's weather as an excuse to be outside.

Four cities, zero-shot each time.