Jinxuan Zhu  |  朱锦轩

I am currently a Master’s student in Artificial Intelligence (MComp AI) at the National University of Singapore (NUS), where I am conducting my dissertation project under the supervision of Prof. David Hsu. Prior to this, I received my Bachelor’s degree in Automation from the Harbin Institute of Technology, Shenzhen (HITSZ). I am fortune to be a research intern at NUS LinS Lab advised by Prof. Lin Shao . Previously, I worked as a research assistant with Prof. Xueqian Wang at Tsinghua SIGS and Prof. Yanjie Li at HITSZ. My research interest focus on Robotics and Embodied AI.

Email: jinxuanzhu[at]u.nus.edu

Email  /  CV  /  GitHub  /  Google Scholar  /  WeChat

Looking for Ph.D. Opportunity in 2027 Spring/Fall Intake.

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News

  • [2026/01] 🎉 Three papers were accepted by ICRA 2026.
  • [2025/10] 🎉 ShapeForce(SayWhen) won the Best Demo Award Finalist of IROS CIM Workshop 2025.
  • [2025/06] 🎉 One paper was accepted by IROS 2025.
  • [2025/06] 🎉 I was graduated from Harbin Institute of Technology, Shenzhen!
  • [2025/04] 🎉 Manual2Skill was accepted to RSS 2025.

Publications
ShapeForce: Low-Cost Soft Robotic Wrist for Contact-Rich Manipulation
Jinxuan Zhu*, Zihao Yan*, Yangyu Xiao, Jingxiang Guo, Chenrui Tie, Xinyi Cao, Yuhang Zheng, Lin Shao
IEEE International Conference on Robotics and Automation (ICRA2026) Website  /  arXiv  /  Code(Coming Soon)
TL;DR: A plug-and-play soft robotic wrist that converts external forces into measurable deformations, providing low-cost and robust force-like signals for contact-rich manipulation.
AdaptPNP: Integrating Prehensile and Non-Prehensile Skills for Adaptive Robotic Manipulation
Jinxuan Zhu*, Chenrui Tie*, Xinyi Cao*, Yuran Wang, Jingxiang Guo, Zixuan Chen, Haonan Chen, Junting Chen, Yangyu Xiao, Ruihai Wu, Lin Shao
IEEE International Conference on Robotics and Automation (ICRA2026) Website  /  arXiv  /  Code(Coming Soon)
TL;DR: A VLM-guided framework that adaptively combines prehensile and non-prehensile skills, leveraging a digital twin to generate 6D pose representations for robust manipulation.
Manual2Skill++: Connector-Aware General Robotic Assembly from Instruction Manuals via Vision–Language Models
Chenrui Tie*, Shengxiang Sun*, Yudi Lin, Yanbo Wang, Zhongrui Li, Zhouhan Zhong, Jinxuan Zhu, Yiman Pang, Haonan Chen, Junting Chen, Ruihai Wu, Lin Shao
IEEE International Conference on Robotics and Automation (ICRA2026) Website  /  arXiv
TL;DR: Manual2Skill++ presents a framework that leverages vision-language models to automatically extract structured assembly knowledge from manuals and translate it into reusable robot manipulation skills.
Manual2Skill: Learning to Read Manuals and Acquire Robotic Skills for Furniture Assembly Using Vision-Language Models
Chenrui Tie*, Shengxiang Sun*, Jinxuan Zhu, Yiwei Liu, Jingxiang Guo, Yue Hu, Haonan Chen, Junting Chen, Ruihai Wu, Lin Shao
Robotics: Science and Systems (RSS 2025) CVPR 2025 Workshop Robo-3DVLM Website  /  arXiv  /  Media (机器之心)
TL;DR: Teach robots to assemble furniture by reading manuals and transforming the instructions into executable skills.
Learning Generalizable Language-Conditioned Cloth Manipulation from Long Demonstrations
Hanyi Zhao*, Jinxuan Zhu*, Zihao Yan*, Yichen Li, Yuhong Deng, Xueqian Wang
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2025) Website  /  arXiv
TL;DR: Propose a novel pipeline utilizing LLM to discover basic skills from existing benchmarks and compose them to generalize to novel long-horizon cloth manipulation tasks.
MASQ: Multi-Agent Reinforcement Learning for Single Quadruped Robot Locomotion
Qi Liu*, Jingxiang Guo*, Sixu Lin, Shuaikang Ma, Jinxuan Zhu, Yanjie Li
ICML 2025 Workshop NewInML arXiv  /  Video  /  Press
TL;DR: Introduce MASQ, a novel approach using multi-agent reinforcement learning (MARL) for single quadruped robot locomotion. By treating each leg as an independent agent, MASQ accelerates learning and boosts real-world robustness, surpassing traditional methods.

Education

National University of Singapore, Singapore 2025.8 - 2027.1(expect)

Master of Computing in Artificial Intelligence

Harbin Institute of Technology, Shenzhen, China 2021.09 - 2025.07

Bachelor of Engineering in Automation
GPA: 3.7/4.0 Rank: 10%

Experience

NUS Learning and Intelligent Systems Lab (LinS Lab), Singapore 2024.12 - present

Research Intern
Advisor: Prof. Lin Shao

City University of HongKong, Hong Kong, China 2025.02 - 2025.05

Exchange Student

AI&Robot Lab at Tsinghua SIGS, Shenzhen, China 2024.07 - 2025.03

Research Intern
Advisor: Prof. Xueqian Wang

Reinforcement Learning Group (RLG) at HTISZ, Shenzhen, China 2023.11 - 2024.10

Research Intern
Advisor: Prof. Yanjie Li

University of Oxford, Oxford, UK 2023.08

Summer Programme in Machine Learning and Artificial Intelligence (fully funded)

Employment

Sharpa Robotics Co., Ltd. 2025.12 - present

Robotics Manipulation Algorithm Intern

Roboscience Co., Ltd. 2025.3 - 2025.8

Robotics Manipulation Algorithm Intern

Dobot Robotics Co., Ltd. 2024.7 - 2024.11

Robotics Imitation Learning Algorithm Intern

Project Demo: Single-Take Robot Assembling IKEA Furniture

Watch how our robot autonomously assembles IKEA furniture 🪑🤖 — a project I contributed to during my internship at Roboscience.

Project Demo: Fully autonomous pinwheel assembly—live at CES 2026

Watch how our robot autonomously assembles pinwheel — a project I engaged during my internship at Sharpa.

Award

  • Outstanding Student of the Year 2021-2022 HITSZ
  • Best Demo Award Finalist IROS 2025 CIM Workshop

Misc

I enjoy playing basketball 🏀 and hiking 🏃. I'm also the guitarist in a band formed with friends since high school, where I play electric guitar 🎸.


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