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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 / WeChat
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ResearchMy 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👋. |
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MASQ: Multi-Agent Reinforcement Learning for Single Quadruped Robot Locomotion
In submission to ICRA 2025 Website / arXiv / Code 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. |
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$\mathcal{D(R,O)}$ Grasp: A Unified Representation of Robot and Object Interaction for Cross-Embodiment Dexterous Grasping
In submission to ICRA 2025 Website / arXiv / Code / Video We introduce a novel representation, $\mathcal{D(R,O)}$ for dexterous grasping tasks. This interaction-centric formulation transcends conventional robot-centric and object-centric paradigms, facilitating robust generalization across diverse robotic hands and objects. |
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Logarithmic Function Matters Policy Gradient Deep Reinforcement Learning
Accepted in DAI 2024 arXiv / Code |
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Multi-Agent Target Assignment and Path Finding for Intelligent Warehouse: A Cooperative Multi-Agent Deep Reinforcement Learning Perspective
arXiv / Code / Advertise |
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MetaFold: A Closed-loop Pipeline for Universal Clothing Folding via End-to-end Point Cloud Trajectory Generation
Website / arXiv / Code |
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Momentum Prediction for Tennis Matches Based on Counter-Factual Analysis and Multi-LGBM
IEEE Xpolre / Code |
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ECAPA-TDNN Embeddings for Speaker Recognition
IEEE Xpolre / Code |
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Quick reversing device and quick track reversing device
National Patent Google Patents |
Award
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Experience |
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National University of Singapore, Singapore 2024.07 - nowResearch AssistantAdvisor: Prof. Lin Shao |
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HTISZ Reinforcement Learning Group (RLG), China 2022.10 - 2024.06Research InternAdvisor: Prof. Yanjie Li |
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Harbin Institute of Technology, Shenzhen, China 2021.09 - 2025.07Undergraduate Student |
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Fell free to contact me if you have any problem.
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