Li Lim Thai
Papers
1
Total Citations
2
H-Index
1
About
Dr. Li Lim Thai is a forward-thinking researcher at the intersection of computer vision, robotics, and industrial automation, with a particular focus on enabling safe human-robot collaboration (HRC) in the context of Industry 4.0. Their most cited work, "Fine-tuned RetinaNet models for Vision-based Human Presence Detection" (2022), addresses a critical safety challenge: ensuring that robots can reliably detect and respond to nearby humans in dynamic industrial environments. By fine-tuning state-of-the-art object detection architectures, Dr. Thai’s research directly tackles the risk-correlated issues that arise when introducing rigid robotic systems into flexible, human-centered workspaces. This contribution is foundational for advancing human-robot interaction (HRI) and collaboration, where real-time, accurate perception is essential. While their citation count is still growing, the practical implications of their work—improving workplace safety and enabling more adaptive automation—signal a strong trajectory of impact. Dr. Thai’s research is particularly valuable for students and engineers seeking to bridge the gap between deep learning and real-world robotic safety systems.
Research Focus
Key Achievements
Top Papers
- 1Fine-tuned RetinaNet models for Vision-based Human Presence Detection2 citations · 2022