Papers

10

Total Citations

81

H-Index

6

About

Dr. Chee Khiang Pang is a leading expert in robotic welding automation and intelligent manufacturing systems. His research focuses on developing advanced control and perception algorithms to transform complex, multi-pass welding—particularly for challenging tubular TKY joints in the marine and offshore industry—from a manual, error-prone process into a precise, automated one. Dr. Pang’s major contributions include pioneering frameworks for object detection using RGB-D sensors (23 citations) and novel feedforward control strategies that suppress seam boundary error propagation (13 citations), effectively treating the welding process as a closed-loop control problem. He has also developed collision-free path planning and automated bead layout methodologies, replacing tedious "teaching and playback" routines. His work on data-driven fast input allocation for shape-varying geometries (8 citations) further demonstrates his impact in adaptive manufacturing. Beyond welding, Dr. Pang has contributed to command and control architectures for networked military teams, showcasing the breadth of his systems engineering expertise. With a portfolio of highly cited papers, his research is essential reading for anyone interested in the future of robotic fabrication and intelligent control systems.

Research Focus

Key Achievements

6
H-Index
10
Papers
81
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
Object detection and motion planning for automated welding of tubular joints
23 citations · 2016
📈 Most Prolific Year: 2021 (3 Papers)
🤝 Key Collaborators: 19
🏛 Institutions: National University of Singapore, Singapore Institute of Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago