About Me

I am Chen Jing (经宸; Jing is my family name), a sophomore majoring in Mechanical Engineering at the ZJU-UIUC Institute (ZJUI), Zhejiang University. Currently, I am an undergraduate research assistant at the Physical Intelligence Lab, safely guided by Prof. Hua Chen and Prof. Liangjing Yang.

My research interests broadly lie in Embodied AI, Legged Locomotion, and Whole-body Loco-manipulation. Currently, I am exploring the synergy between physics-based simulation and real-world deployment. Specifically, my work focuses on:

  • Simulation & Reinforcement Learning: Implementing whole-body control and tracking frameworks within advanced simulation platforms, e.g., Isaac Lab.
  • Real-world Imitation Learning: Developing end-to-end data collection and policy training pipelines, e.g., Diffusion Policy based on UMI, for real-world robotic arms and grippers.

I am eager to bridge the gap between simulation and reality (Sim2Real) to enable robots with more agile and dexterous behaviors.

Recent News

  • Our short paper was accepted for a 2-minute spotlight presentation at the MoMA.v5 Workshop at IROS 2026.
  • Released EdwinOS 2.1.2 on July 13, 2026, further refining the GitHub-inspired experience for the personal website.

Education

Publications

  • BipedalWBC manipulation tasks and learning/deployment framework

    Learning Holistic Whole-Body Loco-Manipulation with a Bipedal Mobile Manipulator

    Zhongyu Chen*, Yuxuan Nai*, …, Chen Jing, …, Hua Chen†Zhongyu Chen*, Yuxuan Nai*, Qian Chen, Yidong Zhu, Chen Jing, Qihan Wang, Xudong Li, Zhizhan Li, Leixin Chang, Liangjing Yang, Hua Chen†

    Under Review

* Equal contribution · † Corresponding author

Workshop Contributions & Presentations

MoMA.v5 at IROS 2026: poster display on the left, workshop opening slide at upper right, and spotlight presentation at lower right

MoMA.v5 Workshop IEEE/RSJ IROS 2026

Learning Holistic Whole-Body Loco-Manipulation with a Bipedal Mobile Manipulator

Our short paper was accepted for a poster session and a 2-minute spotlight presentation.

Pittsburgh, USA

Experiences

Member of Physical Intelligence Lab, ZJU

Physics-based simulation · Whole-body control · Sim2Real · Real-world imitation learning

2025 - Present

  • Exploring whole-body control and tracking frameworks in advanced simulation platforms such as Isaac Lab.
  • Building data-collection and policy-training pipelines for real-world robotic arms and grippers, with the goal of closing the Sim2Real gap.

Honors & Awards

  • 04/2026Third Prize · 31st Zhejiang University Mechanical Design Competition
  • 01/2024Gold Medal & First Prize · World Robot Contest Finals (WRCF)
  • 08/2023Second Prize · National VEX Robotics Elite Competition (Hosted by SJTU)