Research
My research interests lie in 🤖robot learning and 🦾dexterous manipulation. My long-term goal is to make robots an indispensable
part of our lives, transforming the way we live. I'm open to collaborations on robotics related projects! If you are a researcher
looking for a partner, feel free to contact me🤟.
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$\mathcal{D(R,O)}$ 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
Website
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arXiv
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Code
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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Auto-Pairing Positives through Implicit Relation Circulation for Discriminative Self-Learning
Bo Pang,
Zhenyu Wei,
Jingli Lin,
Cewu Lu,
In submission to TPAMI (Minor Revision)
arXiv
We present Implicit Relation Circulation (IRC), a self-supervised learning framework that
uses random walks across feature groups without explicit matching. By connecting it to a
simpler task, cycle consistency facilitates the automatic discovery of positive pairs.
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Award
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The Tung Foundation Scholarship (Top 5%)
2022
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Huawei Scholarship (Top 5%)
2023
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Outstanding Scholarship of Computer Science Alumni Fund (Top 5%)
2024
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Zhiyuan Honors Scholarship (Top 5%)
2021 & 2022 & 2023
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SJTU Merit Student (Top 10%)
2022 & 2023
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SJTU Merit Scholarship (Top 10%)
2022 & 2023
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National University of Singapore, Singapore
2024.06 - present
Research Assistant
Advisor: Prof. Lin Shao
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SJTU Machine Vision and Intelligence Group (MVIG), China
2022.10 - 2024.05
Research Intern
Advisor: Prof. Cewu Lu
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SJTU-THU-PKU Computer Science Summer School, China
2023.07
Participant
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Shanghai Jiao Tong University, China
2021.09 - 2025.06
Undergraduate Student
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Fell free to contact me if you have any problem.
Thanks for your visiting😊!
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Last Update: Oct. 17, 2024
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