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.

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News

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 .

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)
In submission
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.
$\mathcal{D(R,O)}$ 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
ICRA 2025
CoRL 2024 @ MAPoDeL  🏆 Best Robotics Paper Award (Oral Presentation)
CoRL 2024 @ LFDM  ⭐️ Spotlight Presentation ⭐️
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
Arxiv
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.
Logarithmic Function Matters Policy Gradient Deep Reinforcement Learning
Qi Liu, Jingxiang Guo, Zhongjian Qiao, Pengbin Chen, Yanjie Li
⭐️ Accepted in DAI 2024 (Oral) ⭐️
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
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  /  Certificate

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.

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