Jingxiang Guo  |  郭京翔

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 National University of Singapore advised by Prof. Lin Shao. Previously, I was an intern at Harbin Institute of Technology, Shenzhen RLGroup advised by Prof. Yanjie Li.

Email  /  CV  /  GitHub  /  Google Scholar  /  ORCID  /  IEEE Xpolre  /  Semantic Scholar  /  dblp  /  Scopus  /  ResearchGate  /  Gravatar  /  WeChat

profile photo

News

  • [2024/11] 🎉 $\mathcal{D(R, O)}$ Grasp won the Best Robotics Paper Award at CoRL 2024 MAPoDeL Workshop!

Research

My research interests lie in 🤖robot learning and 🦾dexterous manipulation. 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 me👋 @ Schedule time with me .

MASQ: Multi-Agent Reinforcement Learning for Single Quadruped Robot Locomotion
Qi Liu*, Jingxiang Guo*, Sixu Lin, Shuaikang Ma, Jinxuan Zhu, Yanjie Li
In submission to ICRA 2025
Website  /  arXiv  /  Video

This paper introduces 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.

$\mathcal{D(R,O)}$ 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
In submission to ICRA 2025
★ Best Robotics Paper Award @ CoRL 2024 Workshop MAPoDeL ★
Oral Presentation @ CoRL 2024 Workshop MAPoDeL
Oral Presentation @ CoRL 2024 Workshop LFDM
Website  /  arXiv  /  Code
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.
Logarithmic Function Matters Policy Gradient Deep Reinforcement Learning
Qi Liu, Jingxiang Guo, Zhongjian Qiao, Pengbin Chen, Yanjie Li
Accepted in DAI 2024
arXiv  /  Code
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
arXiv  /  Code  /  Press
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 CVPR 2025
Website  /  arXiv  /  Code
Momentum Prediction for Tennis Matches Based on Counter-Factual Analysis and Multi-LGBM
Jingxiang Guo, Jinxuan Zhu, Sixu Lin, Feng Shi
IEEE Xpolre  /  Code
ECAPA-TDNN Embeddings for Speaker Recognition
Jingxiang Guo, Jinxuan Zhu, Sixu Lin, Feng Shi
IEEE Xpolre  /  Code
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

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

National University of Singapore, Singapore 2024.07 - now

Research Assistant
Advisor: Prof. Lin Shao

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

Research Intern
Advisor: Prof. Yanjie Li

Harbin Institute of Technology, Shenzhen, China 2021.09 - 2025.07

Undergraduate Student

Fell free to contact me if you have any problem.

Thanks for your visiting😊! Total Page Views:
This website is designed based on Jon Barron and Zhenyu Wei.