Yuying Huang

Stanford University, McGill University

Papers

2

Total Citations

8

H-Index

2

About

Yuying Huang is a roboticist whose research spans autonomous manipulation and marine environmental sensing. Her most notable contribution is **AO-Grasp**, a pioneering method for generating 6-DoF grasps that enable robots to interact with articulated objects—such as opening cabinets, drawers, and appliances. This work addresses a critical gap in robotic manipulation by providing both a novel grasp proposal model and the dedicated AO-Grasp dataset, laying the foundation for more dexterous and practical robot interactions in human environments. In parallel, Huang developed the **Autonomous Probing System (APS)** , a low-cost robotic design that allows small autonomous surface vehicles to collect water quality measurements at targeted depths. This system fills a vital niche in marine sampling, enabling mobile sensor deployment for environmental monitoring. While her citation counts are still growing—reflecting the recency of her work—the foundational nature of her contributions, particularly in articulated object grasping, positions her as an emerging leader in both robotic manipulation and autonomous environmental sensing.

Research Focus

Key Achievements

2
H-Index
2
Papers
8
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
AO-Grasp: Articulated Object Grasp Generation
5 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 14
🏛 Institutions: Stanford University, McGill University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago