I'm an undergraduate student in Applied Mathematics and Computer Science at Columbia University, working in the RoboPIL Lab advised by Prof. Yunzhu Li. I'm fortunate to receive mentorship from Prof. Antonio Loquercio and Prof. Brian Plancher.
My research interests lie in the intersection of robotics, machine learning, and perception, with the aim of equipping physical agents with more robust, capable, and efficient skillsets to accomplish tasks and interact with the open world.
If you would like to collaborate, feel free to reach out!
Research
(* indicates equal contribution)
Shuo Sha,
Yixuan Wang,
Binghao Huang,
Antonio Loquercio,
Yunzhu Li
(under review)
[website],
[paper],
[sim code],
[deploy code]
TL;DR: We present a shared autonomy framework for reliable teleoperation by learning a residual copilot that provides low-level assistance.
Kaifeng Zhang*,
Shuo Sha*,
Hanxiao Jiang,
Matt Loper,
Jay Song,
Zhuo Xu,
Xiaochen Hu,
Changxi Zheng,
Yunzhu Li
ICRA 2026
[website],
[paper],
[code]
TL;DR: We propose a framework for robot policy evaluation in simulation, using Gaussian Splatting for rendering and soft-body digital twin for dynamics.
Shuo Sha,
Anupam Bhakta*,
Zhenyuan Jiang*,
Kevin Qiu*,
Ishaan Mahajan,
Gabriel Bravo,
Brian Plancher
ICRA 2026
[website],
[paper],
[code]
TL;DR: We introduce TAG-K, a lightweight Kaczmarz variant combining greedy row selection and tail averaging for fast online inertial parameter estimation.
Shuo Sha
Journal of Mathematics Research 2023
[paper]
TL;DR: We present a well-posed variational formulation and finite element approximation for time-harmonic 2D Maxwell's equations.