Yutong Li

Master Graduate in Information Engineering
Shanghai Jiao Tong University

I am currently working at RobotFlow lab. My MS was completed at the Shanghai Jiao Tong University under the supervision of Prof. Cewu Lu and guidance of Dr. Wenqiang Xu.

Starting August 2025, I will be pursuing a PhD at the National University of Singapore under the supervision of Prof. Xingyu Liu

Research Interests

I am committed to building complex robotic systems with integrated hardware and software to help humans work and live better. My main research interests are:

Sensor Systems: I have developed MarkIt, a wireless IMU-based motion capture system that can scale to a large number of sensors. In FSGlove: An Inertial-Based Hand Tracking System with Shape-Aware Calibration, we proposed a full-DoF motion capture glove that is easy to assemble and affordable. In “Capturing forceful interaction with deformable objects using a deep learning-powered stretchable tactile array,” a paper accepted by Nature Communications, we proposed a tactile glove with pressure sensing. Currently, I am building a modular, wireless, IMU-based motion capture glove.
Robot Learning: In “UniFolding: Towards Sample-efficient, Scalable, and Generalizable Robotic Garment Folding” (presented at CoRL 2023), we proposed a novel approach to robotic garment folding that is sample-efficient and generalizable across different garments.

I also have a deep interest in the following areas:

Computer Vision: I have worked on various computer vision projects, including multi-view reconstruction and pose estimation.
Simulation: I contributed to RFuniverse, a Unity-based simulation platform for robotics research, which is designed to be modular and extensible.
HPC & Networking: In “Towards an energy-efficient Data Center Network based on deep reinforcement learning,” we proposed a novel approach to optimize data center networks using deep reinforcement learning. I am also interested in building computer clusters. Currently, I am the administrator of the SPEIT Online Coding Platform.

news

Jun 17, 2025	1 paper is accepted by IROS 2025 with Oral Presentation.
Oct 18, 2024	1 paper is accepted by Nature Communications.
Mar 30, 2024	Graduated from Shanghai Jiao Tong University.
Jun 30, 2021	Joined SJTU Machine Vision and Intelligence Group (MVIG) and RobotFlow

selected publications

IROS

FSGlove: An Inertial-Based Hand Tracking System with Shape-Aware Calibration

Yutong Li*, Jieyi Zhang*, Wenqiang Xu, Tutian Tang, and Cewu Lu

In iros , 2025

Awareded Bib PDF Website

Oral Presentation

@inproceedings{fsglove,
  title = {FSGlove: An Inertial-Based Hand Tracking System with Shape-Aware Calibration},
  author = {Li*, Yutong and Zhang*, Jieyi and Xu, Wenqiang and Tang, Tutian and Lu, Cewu},
  booktitle = iros,
  pages = {},
  year = {2025},
  organization = {IEEE},
}

Capturing forceful interaction with deformable objects using a deep learning-powered stretchable tactile array

Chunpeng Jiang*, Wenqiang Xu*, Yutong Li, Zhenjun Yu, Longchun Wang, Xiaotong Hu, Zhengyi Xie, Qingkun Liu, Bin Yang, Xiaolin Wang, Wenxin Du, Tutian Tang, Dongzhe Zheng, Siqiong Yao, Cewu Lu, and Jingquan Liu

Nature Communications, 2024

Awareded Bib Website

@article{vitam,
  title = {Capturing forceful interaction with deformable objects using a deep learning-powered stretchable tactile array},
  author = {Jiang*, Chunpeng and Xu*, Wenqiang and Li, Yutong and Yu, Zhenjun and Wang, Longchun and Hu, Xiaotong and Xie, Zhengyi and Liu, Qingkun and Yang, Bin and Wang, Xiaolin and Du, Wenxin and Tang, Tutian and Zheng, Dongzhe and Yao, Siqiong and Lu, Cewu and Liu, Jingquan},
  journal = {Nature Communications},
  volume = {},
  number = {},
  pages = {},
  year = {2024},
  publisher = {Nature Publishing Group UK London},
}

IROS

Differentiable Fluid Physics Parameter Identification By Stirring and For Stirring

Wenqiang Xu*, Dongzhe Zheng*, Yutong Li, Jieji Ren, and Cewu Lu

In iros , 2024

Awareded Bib PDF Website

Oral Pitch

@inproceedings{diffstir,
  title = {Differentiable Fluid Physics Parameter Identification By Stirring and For Stirring},
  author = {Xu*, Wenqiang and Zheng*, Dongzhe and Li, Yutong and Ren, Jieji and Lu, Cewu},
  booktitle = iros,
  pages = {},
  year = {2024},
  organization = {IEEE},
}

CoRL

UniFolding: Towards Sample-efficient, Scalable, and Generalizable Robotic Garment Folding

Han Xue*, Yutong Li*, Wenqiang Xu, Huanyu Li, Dongzhe Zheng, and Cewu Lu

In corl , 2023

Bib PDF Website

@inproceedings{unifolding,
  title = {UniFolding: Towards Sample-efficient, Scalable, and Generalizable Robotic Garment Folding},
  author = {Xue*, Han and Li*, Yutong and Xu, Wenqiang and Li, Huanyu and Zheng, Dongzhe and Lu, Cewu},
  booktitle = corl,
  year = {2023},
}

CVPR

GarmentTracking: Category-Level Garment Pose Tracking

Han Xue, Wenqiang Xu, Jieyi Zhang, Tutian Tang, Yutong Li, Wenxin Du, Ruolin Ye, and Cewu Lu

In cvpr , 2023

Bib PDF Website

@inproceedings{garmenttracking,
  title = {GarmentTracking: Category-Level Garment Pose Tracking},
  author = {Xue, Han and Xu, Wenqiang and Zhang, Jieyi and Tang, Tutian and Li, Yutong and Du, Wenxin and Ye, Ruolin and Lu, Cewu},
  booktitle = cvpr,
  pages = {21233--21242},
  year = {2023},
}

ICCV

ClothPose: A Real-World Benchmark for Visual Analysis of Garment Pose via An Indirect Recording Solution

Wenqiang Xu*, Wenxin Du*, Han Xue, Yutong Li, Ruolin Ye, Yan-Feng Wang, and Cewu Lu

In iccv , 2023

Awareded Bib PDF Website

Oral

@inproceedings{clothpose,
  title = {ClothPose: A Real-World Benchmark for Visual Analysis of Garment Pose via An Indirect Recording Solution},
  author = {Xu*, Wenqiang and Du*, Wenxin and Xue, Han and Li, Yutong and Ye, Ruolin and Wang, Yan-Feng and Lu, Cewu},
  booktitle = iccv,
  pages = {58--68},
  year = {2023},
}

Towards an energy-efficient Data Center Network based on deep reinforcement learning

Yang Wang, Yutong Li, Ting Wang, and Gang Liu

Computer networks, 2022