Tsung Heng Chiew
Papers
4
Total Citations
14
H-Index
2
About
Tsung Heng Chiew is a rising researcher in robotics and intelligent automation, with a focus on Industry 4.0 applications. His work spans robotic assembly, autonomous navigation, and control systems, addressing critical challenges in manufacturing environments. Chiew’s most cited paper, “Research on YOLOv8 Application in Bolt and Nut Detection for Robotic Arm Vision” (2024, 7 citations), pioneers the use of deep learning for precise object detection in automated assembly, a key step toward replacing human labor in repetitive tasks. He also contributed to “A Review of Advanced Force Torque Control Strategies for Precise Nut-to-Bolt Mating in Robotic Assembly” (2024, 3 citations), synthesizing compliance and active control methods to achieve high-precision alignment. In “Autonomous Robot Navigation System Workflow for Monitoring and Maintenance in Industry 4.0 Applications” (2024, 2 citations), Chiew tackles GPS-denied, dynamic factory environments, proposing flexible navigation solutions. His work on “Design and analysis of super twisting sliding mode-PID controller for two-wheeled self-balancing robot” (2023, 2 citations) demonstrates expertise in robust control theory. Though early in his career, Chiew’s integration of vision, control, and navigation systems signals a promising trajectory in advancing autonomous robotics for industrial settings.
Research Focus
Key Achievements
Top Papers
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