Ruyi Wang
Ruyi Wang (王濡翼)
Embodied AI | Robotics | AI4Science | Tongji University
975967579 [at] qq.com  /  2333059 [at] tongji.edu.cn
Google Scholar ORCID

About

I am Ruyi Wang (王濡翼), a master's student at Tongji University, working at the intersection of Embodied AI, Robot Learning, Reinforcement Learning, and Physics-informed Machine Learning.

My recent work focuses on Humanoid and Legged Locomotion, including PPO-based Policy Training, Imitation Learning, Motion Retargeting, and Sim2Real / Sim2Sim Transfer on platforms such as Isaac Gym, MuJoCo, and ROS2.

I also conduct AI4Science research on Physics-structured World Models for PEM Water Electrolyzers, focusing on Multimodal Time-series Modeling and Electrochemical Diagnosis.

My work has been published in Journal of Power Sources (2026) and Discover Applied Sciences (2025).

I am actively seeking opportunities in Embodied AI, Robotics, and Reinforcement Learning.

Research Interests

  • Embodied AI & Robotics
    Humanoid / Legged Locomotion, loco-manipulation, Whole-body Control, motion retargeting.
  • Robot Learning
    Reinforcement Learning, imitation learning, Policy Optimization, reward design, contact modeling.
  • Sim2Real & Simulation
    Isaac Gym / Isaac Sim, MuJoCo, ROS2, sim-to-real transfer and deployment.
  • AI4Science
    Physics-informed Machine Learning, multimodal time-series modeling, electrochemical diagnosis.

Education

Tongji University, Shanghai, China
  • M.S. in Energy and Power Engineering (New Energy Power Systems)
    Sep 2023 – Jul 2026
  • B.Eng. in Vehicle Engineering (Automotive Electronics and Intelligence)
    Sep 2018 – Jun 2023

Experience

2023.09 – 2026.07 (expected)
M.S. Student & Researcher @ Tongji University
Embodied AI and AI4Science research.
Working on humanoid / legged robot learning, reinforcement learning, motion retargeting, and physics-informed modeling for PEM electrochemical systems.
Supervisors: Xuezhe Wei, Jiangong Zhu, Xiaoping Wu
2025.09 – 2026.01
Robotics Locomotion & Manipulation Algorithm Intern @ AgiBot, Shenzhen, China
Project: Whole-body Loco-manipulation (Sim2Real)
• Dynamics-constrained motion generation via Crocoddyl + Pinocchio.
• VR teleoperation whole-body controller with Sim2Sim / Sim2Real validation.
• AIMRT–ROS SDK debugging for full-stack integration.
Instructor: Shaohe Du
2025.04 – 2025.09
Embodied Locomotion Control Algorithm Intern @ Xiaomi Robotics, Beijing, China
Project: Biped Locomotion with Toe Modeling
• Studied toe DoF effects on biped gait stability via Cassie-style simulation.
• Built mocap retargeting pipeline; trained PPO + AMP policies in Isaac Gym / Legged Gym.
• Tuned rewards, contact forces, and PPO hyperparameters for locomotion stability.
Instructor: Jianhua Feng
2025.01 – 2025.03
Embodied Perception Algorithm Intern @ Anker Innovations, Shanghai, China
Project: 3D Simulation Asset Generation & Multi-engine Survey
• Surveyed multi-engine sim platforms (Isaac Sim, MuJoCo, Gazebo, Unity) and 3D/4D Gaussian Splatting.
• Built end-to-end 3DGS reconstruction pipeline and ROS2 control interfaces in Isaac Sim.
Instructor: Minyi Chen
2024.03 – 2024.10
ADAS Functional Test & Automation Intern @ NIO, Shanghai, China
Deployed WorldSim-based automated ADAS testing; designed AEB / BSD / ACC / ALC scenario cases and execution scripts.
Instructor: Xinghai Huang
2023.04 – 2023.08
Data Communication Intern @ Porsche Engineering, Shanghai, China
Built CARLA + ROS co-simulation stack with FCW / SCW scenarios and multi-node middleware visualization pipeline.
Instructor: Mojun Qian
2018.09 – 2023.06
B.Eng. Student @ Tongji University
Major in Vehicle Engineering, with early research experience in hydrogen energy and fuel cell systems.
Supervisor: Haifeng Dai

Publications ( / )

A Physics-Structured Latent Dynamics Model for Ion Contamination Diagnosis in Proton Exchange Membrane Water Electrolyzers
Ruyi Wang, Jiangong Zhu, Haoyu Zhang, Chao Wang, Xiaoping Wu, Ming Wu, Jianqiang Xu, Hao Yuan, Wei Liu, Haifeng Dai, Xuezhe Wei
[Paper] [Preprint] [Project Page] [Code]
Journal of Power Sources, 2026
A Review of the Portability of Fault Diagnosis Methods from PEM Fuel Cells to PEM Water Electrolyzers
Ruyi Wang, Jiangong Zhu, Haoyu Zhang, Chao Wang, Xiaoping Wu, Ming Wu, Jianqiang Xu, Hao Yuan, Wei Liu, Haifeng Dai & Xuezhe Wei
[Paper]
Discover Applied Sciences/SN Applied Sciences, 2025

Selected Projects

KudouZala/ion_detect Research Project
Physics-structured machine learning framework for ion contamination diagnosis in PEM water electrolyzers. The project integrates voltage data, impedance spectroscopy (EIS), and physics-informed modeling to build a multimodal Transformer-based diagnostic system.

Project Page / Paper
Python · PyTorch

Selected Honors & Awards

  • Second Prize, 2024 New Energy Vehicle Battery AI Fault Prediction Competition (University Group)
  • National First Prize, Formula Student Electric China (“NIO Cup”)
  • Third Prize, Tongji University Physics Competition
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