Lee Ming Jun Melivin

Singapore University of Technology and Design

Papers

1

Total Citations

12

H-Index

1

About

Dr. Lee Ming Jun Melivin is a pioneering researcher in intelligent robotics and infrastructure inspection, with a focus on AI-enabled autonomous systems for hazardous environments. His most notable contribution is the development of the reconfigurable robot Raptor, integrated with an Internet of Robotic Things (IoRT) framework for drain structural defect detection and mapping. This work, published in 2021 with 12 citations, addresses the critical challenge of replacing dangerous, labor-intensive human visual inspections of drainage systems with a safer, more efficient robotic solution. By designing a four-layer IoRT architecture that bridges users with robotic agents, Dr. Lee enables real-time remote monitoring and AI-driven defect analysis in confined, high-risk spaces. His research sits at the intersection of robotics, artificial intelligence, and civil infrastructure, demonstrating how reconfigurable hardware combined with deep learning can transform maintenance workflows. Dr. Lee’s work has significant implications for smart city development and public safety, offering a scalable model for automated underground asset management. His innovative approach to combining mechanical reconfigurability with edge AI continues to inspire new directions in field robotics and infrastructure resilience.

Research Focus

Key Achievements

1
H-Index
1
Papers
12
Total Citations
12
Avg Citations/Paper
🏆 Most Cited Paper
Drain Structural Defect Detection and Mapping Using AI-Enabled Reconfigurable Robot Raptor and IoRT Framework
12 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: Singapore University of Technology and Design

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago