Yi-Hsuan Hsieh

The University of Texas at Austin

Papers

2

Total Citations

11

H-Index

2

About

Yi-Hsuan Hsieh is a researcher in robotic manipulation and autonomous assembly, with a focus on skill-based programming and computer vision for manufacturing. Her major contributions include developing a skill-based programming system for robotic furniture assembly, as detailed in her 2018 paper, which addresses the challenge of automating the assembly of ready-to-assemble furniture like IKEA products—a task that is tedious for humans but complex for robots. This work, with 9 citations, demonstrates her impact in advancing robotic automation for consumer goods. She also introduced LASSO (Location Assistant for Seeking and Searching Objects) in 2019, a computer vision system designed to locate objects in large manufacturing environments, enhancing automation in tasks like kitting and product assembly. Though with 2 citations, this work highlights her innovative approach to integrating vision systems into robotic workflows. Hsieh’s research bridges the gap between human skill and robotic precision, offering practical solutions for future manufacturing automation. Her achievements underscore her role in making robotics more adaptable and efficient in real-world industrial settings.

Research Focus

Key Achievements

2
H-Index
2
Papers
11
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
A Skill-Based Programming System for Robotic Furniture Assembly
9 citations · 2018
📈 Most Prolific Year: 2018 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: The University of Texas at Austin

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago