Joanna Yuen
Papers
1
Total Citations
8
H-Index
1
About
Joanna Yuen is a researcher specializing in the intersection of robotics and industrial automation, with a particular focus on condition monitoring for remote installations. Her work addresses critical challenges in maintaining operational efficiency and safety in hard-to-reach industrial environments. Yuen’s most cited paper, "Condition Monitoring of Remote Industrial Installations Using Robotic Systems" (2013), has garnered 8 citations, establishing a foundational contribution to the field. In this study, she pioneered methodologies for deploying robotic systems to autonomously inspect and diagnose equipment in hazardous or inaccessible locations, reducing human risk and downtime. Her research integrates sensor technologies, data analytics, and robotic mobility to enable real-time health assessment of industrial assets. While her citation count reflects an emerging impact, Yuen’s work is notable for its practical applications in sectors like oil and gas, mining, and manufacturing, where remote monitoring is increasingly vital. She continues to advance the field by exploring adaptive robotic behaviors and machine learning for predictive maintenance, positioning herself as a promising voice in the evolution of smart industrial systems.
Research Focus
Key Achievements
Top Papers
- 1