Yang Miang Goh

Papers

Total Citations

208

H-Index

About

Yang Miang Goh is a leading researcher at the intersection of construction engineering, safety science, and emerging technologies. His work centers on improving productivity and safety in complex work environments, with a particular focus on modular construction and human-robot interaction (HRI). Goh’s most-cited paper, “Lean production theory-based simulation of modular construction processes” (2019, 203 citations), demonstrates his pioneering application of lean principles to optimize off-site construction workflows, offering a simulation framework that reduces waste and enhances efficiency. More recently, his 2025 study “Identifying human-robot interaction (HRI) incident archetypes” introduces a novel system and network analysis of 303 accident reports, uncovering seven key HRI incident archetypes. This work reveals that unexpected activation and sensor errors are dominant patterns across technology stages, and highlights the complex interplay between robot design, human error, and system-level hazards. By applying systems thinking to safety, Goh provides actionable insights for designing safer collaborative robots and work environments. His research bridges theoretical rigor with practical impact, making him a key voice in the future of construction automation and occupational safety.