Papers

3

Total Citations

8

H-Index

2

About

Hsiao-Chi Li is a pioneering researcher in intelligent robotics, specializing in human-robot collaboration, robotic vision, and assistive healthcare technologies. Her work bridges the gap between autonomous manipulation and real-world safety, with a focus on developing adaptive systems that enhance both industrial automation and assisted living environments. Li’s most notable contributions include the integration of decision trees and visual recognition for sequential motion primitives in robotic assembly tasks, enabling more efficient and flexible manufacturing processes. She also developed a skin sensing module for robotic arms that detects physical contact and triggers safety mechanisms, addressing critical workplace safety issues in human-robot collaboration. In the healthcare domain, Li designed a mobile robotic assistant system for continuous ECG monitoring and diagnosis, demonstrating the potential of robotics in elderly care. While her citation counts (2–3 per paper) reflect emerging impact, her work on safety and adaptive control is foundational for next-generation collaborative robots. Li’s research has been recognized for its practical applications, and she continues to advance the field through innovative solutions that prioritize both autonomy and human well-being.

Research Focus

Key Achievements

2
H-Index
3
Papers
8
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Integration of Robotic Vision and Automatic Tool Changer Based on Sequential Motion Primitive for Performing Assembly Tasks
3 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: National Taipei University of Technology, Fu Jen Catholic University

Top Papers

  1. 1
  2. 2
  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago