Jingxiang Guo  |  ้ƒญไบฌ็ฟ”

I am a fourth-year undergraduate student majoring in Automation at Harbin Institute of Technology, Shenzhen. Currently, I am fortune to be a research assistant at SJTU ScaleLab advised by Prof. Yao Mu. Previously, I was an intern at NUS LinS Lab advised by Prof. Lin Shao and HITsz RLGroup advised by Prof. Yanjie Li.

Email  /  CV  /  GitHub  /  Google Scholar  /  More Academic Links  /  WeChat

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News

  • [2025/05] ๐Ÿ… $\mathcal{D(R, O)}$ Grasp won the ICRA 2025 Best Paper Award on Robot Manipulation and Locomotion, and TelePreview won the Best Paper Award at ICRA 2025 Workshop on Human-Centric Multilateral Teleoperation!
  • [2025/04] ๐Ÿ… $\mathcal{D(R, O)}$ Grasp has been selected as an ICRA 2025 Best Paper Award Finalist!
  • [2025/04] ๐ŸŽ‰ Manual2Skill was accepted to RSS 2025.
  • [2024/12] ๐ŸŽ‰ $\mathcal{D(R, O)}$ Grasp was accepted to ICRA 2025.
  • [2024/11] ๐Ÿ… $\mathcal{D(R, O)}$ Grasp won the Best Robotics Paper Award at CoRL 2024 MAPoDeL Workshop!

Research

My research interests lie in ๐Ÿค– robot learning, ๐Ÿฆพ dexterous manipulation, and ๐Ÿค Human-Robot Perception Alignment. My long-term goal is to create true robotic life, pushing the boundaries of what's possible with machines. I'm open to collaborations on robotics-related projects! Whether you're a researcher looking for a partner, feel free to reach out to me๐Ÿ‘‹ @ Schedule time with me .

Papers sorted by recency. Representative papers are highlighted.

World4Omni: A Zero-Shot Framework from Image Generation World Model to Robotic Manipulation
Haonan Chen*, Bangjun Wang*, Jingxiang Guo*, Tianrui Zhang, Yiwen Hou, Xuchuan Huang, Chenrui Tie, Lin Shao
In submission
ICML 2025 Workshop @ Building Physically Plausible World Models
Website  /  arXiv  /  Code
TL;DR: Propose a novel framework that leverages a pre-trained multimodal image-generation model as a world model to guide policy learning.
DexSinGrasp: Learning a Unified Policy for Dexterous Object Singulation and Grasping in Cluttered Environments
Lixin Xu, Zixuan Liu, Zhewei Gui, Jingxiang Guo, Zeyu Jiang, Zhixuan Xu, Chongkai Gao, Lin Shao
In submission to IROS
Spotlight Presentation, ICRA 2025 @ Handy Moves: Dexterity in Multi-Fingered Hands
Website  /  arXiv  /  Code
TL;DR: Implement a unified policy for dexterous object singulation and grasping in cluttered environments, enabling robots to handle complex manipulation tasks with high success rates.
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
RSS 2025  Robotics: Science and Systems
Oral Presentation, CVPR 2025 @ 3D Vision Language Models for Robotic Manipulation
Website  /  arXiv  /  Code
TL;DR: Propose a novel approach that leverages vision-language models to interpret assembly manuals and translate them into executable robotic skills for furniture assembly tasks.
TelePreview: A User-Friendly Teleoperation System with Virtual Arm Assistance for Enhanced Effectiveness
Jingxiang Guo*, Jiayu Luo*, Zhenyu Wei*, Yiwen Hou, Zhixuan Xu, Xiaoyi Lin, Chongkai Gao, Lin Shao
Website  /  arXiv  /  Code (Coming soon)
TL;DR: Implement a low-cost teleoperation system utilizing data gloves and IMU sensors, paired with an assistant module that improves data collection process by visualizing future robot operations through visual previews.
MetaFold: A Closed-loop Pipeline for Universal Clothing Folding via End-to-end Point Cloud Trajectory Generation
Haonan Chen, Junxiao Li, Chongkai Gao, Zhixuan Xu, Chenting Wang, Yiwen Hou, Jingxiang Guo, Shensi Xu, Jiaqi Huang, Weidong Wang, Lin Shao
In submission to IROS
Website  /  arXiv  /  Code
TL;DR: Propose a closed-loop pipeline for universal clothing folding using end-to-end point cloud trajectory generation, enabling robots to handle various types of clothing with high precision.
$\mathcal{D(R,O)}$ Grasp: A Unified Representation of Robot and Object Interaction for Cross-Embodiment Dexterous Grasping
Zhenyu Wei*, Zhixuan Xu*, Jingxiang Guo, Yiwen Hou, Chongkai Gao, Zhehao Cai, Jiayu Luo, Lin Shao
Website  /  arXiv  /  Code  /  Media (ๆœบๅ™จไน‹ๅฟƒ)
ICRA 2025  International Conference on Robotics and Automation
ICRA 2025 Best Paper Award on Robot Manipulation and Locomotion
Best Robotics Paper Award, CoRL 2024 @ MAPoDeL
Oral Presentation, CoRL 2024 @ MAPoDeL
Spotlight Presentation, CoRL 2024 @ LFDM
TL;DR: Introduce $\mathcal{D(R,O)}$, a novel interaction-centric representation for dexterous grasping tasks that goes beyond traditional robot-centric and object-centric approaches, enabling robust generalization across diverse robotic hands and objects.
MASQ: Multi-Agent Reinforcement Learning for Single Quadruped Robot Locomotion
Qi Liu*, Jingxiang Guo*, Sixu Lin, Shuaikang Ma, Jinxuan Zhu, Yanjie Li
In submission
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.
Multi-Agent Target Assignment and Path Finding for Intelligent Warehouse: A Cooperative Multi-Agent Deep Reinforcement Learning Perspective
Qi Liu, Jianqi Gao, Dongjie Zhu, Zhongjian Qiao, Jingxiang Guo, Pengbin Chen, Yanjie Li
In submission to IROS
arXiv  /  Code  /  Press
TL;DR: Develop a cooperative multi-agent deep reinforcement learning approach for intelligent warehouse systems, focusing on efficient target assignment and path finding for multiple robots.
Logarithmic Function Matters Policy Gradient Deep Reinforcement Learning
Qi Liu, Jingxiang Guo, Zhongjian Qiao, Pengbin Chen, Yanjie Li
DAI 2024  Distributed AI (DAI) conference
Oral Presentation @ DAI 2024
PDF  /  Code
TL;DR: Investigate the impact of logarithmic functions in policy gradient deep reinforcement learning, demonstrating improved performance and stability in various RL tasks.
Momentum Prediction for Tennis Matches Based on Counter-Factual Analysis and Multi-LGBM
Jingxiang Guo, Jinxuan Zhu, Sixu Lin, Feng Shi
IEEE Xplore  /  Code
TL;DR: Develop a novel approach for tennis match momentum prediction using counter-factual analysis and multi-LGBM models, achieving improved accuracy in match outcome predictions.
ECAPA-TDNN Embeddings for Speaker Recognition
Jingxiang Guo, Jinxuan Zhu, Sixu Lin, Feng Shi
IEEE Xplore  /  Code
TL;DR: Implement and evaluate ECAPA-TDNN embeddings for speaker recognition tasks, demonstrating improved performance in speaker verification and identification.
Quick reversing device and quick track reversing device
Kuntian Dai, Jingxiang Guo, Nengfeng Liu, Guanyu Hou, Jinbin Guo, Junkai Wang, Ruiquan Dong
National Patent
Google Patents  /  Certificate
TL;DR: Design and patent a novel quick reversing device and track reversing system, improving efficiency and safety in industrial applications.

Award

  • Champion, RoboMaster2023 Infantry Match Mar 2023
  • First Prize, RoboMaster2022 (National Final) Aug 2022
  • First Prize, RoboMaster2022 (Southern Region) Jun 2022
  • First Prize, RoboMaster2023 (Sentinel Robot Match) Aug 2023
  • First Prize, RoboMaster2023 (High School League) Mar 2023
  • First Prize, China Intelligent Robots Competition Jul 2023
  • First Prize, Hongli Cup Mathematical Modelling Mar 2023
  • First Prize, National Mathematical Modelling, Guangdong Province Sep 2023
  • Second Prize, National Embedded Chip Design Jun 2023
  • Second Prize, RoboMaster2022 (National Final) Aug 2023
  • Second Prize, China Robotics Competition 2023 Sep 2023
  • Second Prize, Mechanical Engineering Innovation 2023 Sep 2023
  • Second Prize, iCAN Innovation and Entrepreneurship Nov 2023
  • Third Prize, China Robotics AI Competition May 2023
  • Third Prize, BOTEC Intelligent Robotics Challenge Oct 2022
  • Third Prize, Harbin Institute Electronic Design Apr 2023
  • Outstanding Student of the Year 2021-2022 Nov 2022
  • Outstanding Member of the League 2022-2023 May 2023

Experience

Spatial Cognition and Robotic Automative Learning Laboratory (ScaleLab), China 2024.05 - Present

Research Intern
Advisor: Prof. Yao Mu

NUS Learning and Intelligent Systems Lab (LinS Lab), Singapore 2024.07 - 2025.5

Research Intern
Advisor: Prof. Lin Shao

National University of Singapore, Singapore 2024.07 - 2025.05

NGNE Program Exchange Student
GPA: 4.2/5.0

HTISZ Reinforcement Learning Group (RLG), Shenzhen, China 2022.10 - 2024.06

Research Intern
Advisor: Prof. Yanjie Li

Harbin Institute of Technology, Shenzhen, China 2021.09 - 2025.07

B.E. in Automation
GPA: 3.7/4.0

Thanks for your visiting๐Ÿ˜Š! Feel free to contact me if you have any problems.
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