Chee Hau Tan
Papers
1
Total Citations
5
H-Index
1
About
Chee Hau Tan is a researcher at the forefront of advanced manufacturing and human–machine interaction, with a focus on integrating virtual reality (VR) into industrial automation. His work centers on process planning and scheduling for robotic workcells, particularly loop layout configurations, where he leverages immersive VR technologies to bridge critical gaps between product design and manufacturing. His most cited paper, "Process planning and scheduling for loop layout robotic workcell using virtual reality technology" (2019), demonstrates how VR-enhanced simulation enables real-time, intuitive human–machine interfaces—allowing operators to interact with and optimize complex manufacturing systems in a fully immersive environment. This approach not only improves efficiency and reduces errors but also democratizes expertise across multidisciplinary teams. With 5 citations, his research has laid foundational insights for the next generation of smart factories. Tan’s contributions are particularly notable for addressing the longstanding challenge of translating design intent into actionable production schedules, making him a key voice in the evolution of digital manufacturing and collaborative robotics.
Research Focus
Key Achievements
Top Papers
- 1