Mu Lin

Mu Lin | 林沐

Hi, I'm Mu Lin. I am currently pursuing a Master's degree at Shenzhen International Graduate School, Tsinghua University, advised by Prof. Yansong Tang. Previously, I graduated from Sun Yat-sen University with a B.E. in Computer Science and Technology in 2026.

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

Email Scholar Github

Publications

*: equal contribution; †: corresponding author(s). Papers with highlighted background are my main contributions.

	BiDexGrasp: Coordinated Bimanual Dexterous Grasps across Object Geometries and Sizes Mu Lin, Yi-Lin Wei, Jiaxuan Chen, Yuhao Lin, Shuoyu Chen, Jiangran Lyu, Jiayi Chen, Yansong Tang, He Wang, Wei-Shi Zheng† CoRL, 2026 Project Page / Arxiv / Code and Dataset(coming soon) A large-scale bimanual dexterous grasping dataset and a geometry-size-adaptive grasping generation model.
	AffordDexGrasp: Open-set Language-guided Dexterous Grasp with Generalizable-Instructive Affordance Yi-Lin Wei, Mu Lin, Yuhao Lin, Jian-Jian Jiang, Xiao-Ming Wu, Ling-An Zeng, Wei-Shi Zheng† ICCV, 2025 Project Page / Arxiv Open-Set Language-guided dexterous grasp based on generalizable-instructive Affordance.
	DynamicManip: Enabling Dynamic Manipulation from a Single Static Demonstration Haoran Liao, Pengyue Wang, Shuoyu Chen, Kehan Cheng, Xuhang Chen, Yuhao Lin, Mu Lin, Zhizhao Liang, Xiaoyi Fan, Chengyi Xing, Dan Niu, Yi-Lin Wei, Wei-Shi Zheng† Arxiv*, 2026 Project Page / Arxiv / Code A static-to-dynamic augmentation pipeline and dynamic-aware adaptive policy that enable robots to learn dynamic manipulation from a single static demonstration.
	Humanoid Whole-Body Manipulation via Active Spatial Brain and Generalizable Action Cerebellum Zhizhao Liang, Yi-Lin Wei, Xuhang Chen, Mu Lin*, Yi-Xiang He, Zhexi Luo, Jun-Hui Liu, Kun-Yu Lin, Wei-Shi Zheng† ECCV 2026 Oral Presentation Project Page / Arxiv A generalizable humanoid loco-manipulation framework that combines Active Spatial Brain for spatial perception and planning with Generalizable Action Cerebellum for executable whole-body robot actions.
	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 Project Page / Arxiv / Code A generalizable dexterous framework that achieves omni-capabilities in user prompting, dexterous embodiment, and grasping tasks.
	TypeTele: Releasing Dexterity in Teleoperation by Dexterous Manipulation Types Yuhao Lin, Yi-Lin Wei, Haoran Liao, Mu Lin, Chengyi Xing, Hao Li, Dandan Zhang, Mark Cutkosky, Wei-Shi Zheng† CoRL, 2025 Project Page / Arxiv / Code A type-guided dexterous teleoperation system that enables operators to select appropriate manipulation types for handling various objects and tasks.

Experience

	Tsinghua University Master's student at Shenzhen International Graduate School 2026 ~ now
	Sun Yat-sen University B.E. from School of Computer Science and Engineering 2022 ~ 2026

Honor

National Scholarship Top 0.2% nationwide in China
2023, 2024
ICPC Shenyang Regional Bronze Medal
2022
Outstanding Graduate Top 5% in Sun Yat-sen University
2026
Outstanding Undergraduate Thesis Top 5% in Sun Yat-sen University
2026