Kheng Hui Yeo

Institute for Infocomm Research

Papers

2

Total Citations

8

H-Index

2

About

Kheng Hui Yeo is a researcher at the intersection of human-robot interaction and industrial automation, with a focus on making complex machinery accessible through intuitive interfaces. Her work centers on bridging the gap between skilled human labor and robotic assistance, particularly in high-stakes environments like shipbuilding and manufacturing. Yeo’s most cited paper, “Controlling Industrial Robots with High-Level Verbal Commands” (2021, 5 citations), demonstrates her commitment to democratizing robot control by allowing workers to use natural language instead of specialized programming. This contribution has implications for reducing training barriers and improving safety on factory floors. Earlier, her ethnographic study “Understanding welding practices on shipyards” (2014, 3 citations) provided foundational insights into the design of interactive robot welders, emphasizing the importance of user-centered design in industrial settings. By combining field research with technical innovation, Yeo has helped shape a vision of collaborative robotics where machines adapt to human workflows rather than the reverse. Her work continues to influence the development of more responsive, worker-friendly automation systems.

Research Focus

Key Achievements

2
H-Index
2
Papers
8
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Controlling Industrial Robots with High-Level Verbal Commands
5 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: Institute for Infocomm Research

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago