Papers
4
Total Citations
23
H-Index
3
About
Yeh Huann Goh is a researcher at the forefront of intelligent robotics and smart manufacturing, with a focus on integrating cyber-physical systems (CPS) and computer vision into industrial automation. His work addresses critical challenges in Industry 4.0, particularly in autonomous robotic assembly and human-robot interaction. Goh’s most cited paper, “Cyber Physical Autonomous Mobile Robot (CPAMR) Framework in the Context of Industry 4.0” (2018, 9 citations), establishes a foundational framework for CPS-enabled mobile robots that communicate via IoT to enable autonomous process management. He has made significant contributions to precision assembly, as seen in his 2024 studies on YOLOv8-based bolt and nut detection (7 citations) and advanced force-torque control strategies for nut-to-bolt mating (3 citations), which tackle the real-world challenge of achieving micron-level alignment in robotic tasks. Goh also explores the social dimensions of robotics, notably in his 2018 study on the “uncanny valley” effect (4 citations), which examines how Malaysian urban and rural populations perceive different robotic faces. This blend of technical innovation and human-centered research underscores his impact, offering practical solutions for smart factories while advancing our understanding of robot acceptance.
Research Focus
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Top Papers
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