Mu Lin | 林沐

Hi, I'm Mu Lin, an undergraduate student majoring in Computer Science and Technology at Sun Yat-sen University, graduating in 2026. I will continue my academic journey as a Master's student at Shenzhen International Graduate School, Tsinghua University, advised by Prof. Yansong Tang.

My research focuses on robotic learning and computer vision, particularly in dexterous grasping and manipulation. I am currently advised by Prof. Wei-Shi Zheng and work with Yi-Lin Wei at the Intelligence Science and System Lab (ISEE).

profile photo

Publications

*: equal contribution; †: corresponding author(s)

BiDexGrasp hover preview
BiDexGrasp preview
BiDexGrasp: Coordinated Bimanual Dexterous Grasps across Object Geometries and Sizes
Arxiv, 2026
A large-scale bimanual dexterous grasping dataset and a geometry-size-adaptive grasping generation model.
AffordDexGrasp hover preview
AffordDexGrasp preview
AffordDexGrasp: Open-set Language-guided Dexterous Grasp with Generalizable-Instructive Affordance
ICCV, 2025
Open-Set Language-guided dexterous grasp based on generalizable-instructive Affordance.
OmniDexGrasp preview
OmniDexGrasp: Generalizable Dexterous Grasping via Foundation Model and Force Feedback
Yi-Lin Wei*, Zhexi Luo*, Yuhao Lin, Mu Lin, Zhizhao Liang, Shuoyu Chen, Wei-Shi Zheng†
ICRA, 2026
A generalizable dexterous framework that achieves omni-capabilities in user prompting, dexterous embodiment, and grasping tasks.
TypeTele preview
TypeTele: Releasing Dexterity in Teleoperation by Dexterous Manipulation Types
CoRL, 2025
A type-guided dexterous teleoperation system that enables operators to select appropriate manipulation types for handling various objects and tasks.

Experience

Sun Yat-sen University
B.E. from School of Computer Science and Engineering
2022 ~ Present

Honor

  • National Scholarship Top 0.2% nationwide in China
    2023, 2024
  • ICPC Shenyang Regional Bronze Medal
    2022
  • Top-Tier Undergraduate Program 2.0 Selected among the top 20 of 400 students
    Selected