Yutong Li

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.

Strengths

As an engineer with a comprehensive background from SJTU-ParisTech, I possess a deep and practical skill set spanning multiple disciplines. My core strengths include:

Full-Stack Development: From low-level embedded programming in C/C++ and hardware-level protocols to high-level applications in Python and Go, I build complete and robust software solutions. I am proficient in team collaboration on large projects, utilizing tools like Git and CI/CD pipelines to ensure code quality and maintainability.

Software & Embedded Systems: I have extensive experience in developing softwares for embedded systems using Arduino, FreeRTOS and Linux. I am adept at designing and implementing AHRS, Video Capture and IoT applications

Robotics & Automation: I have hands-on experience with major robotics platforms like Franka Panda and Universal Robots, developing for both ROS1 and ROS2. My work has involved everything from motion planning with MoveIt to developing synchronized, high-precision data acquisition systems.

Infrastructure & IT: I am highly skilled in designing, deploying, and maintaining kubernetes clusters, resilient server infrastructure, virtualized environments, and distributed storage systems. I am also familiar with networking protocols and security practices, ensuring robust and secure systems.

Creative & Technical Arts: I am also a creator, proficient in a range of tools for photoshoping, video production, graphic design, and 3D modeling.