Lin Miao
Papers
1
Total Citations
2
H-Index
1
About
Lin Miao is an emerging researcher working at the intersection of computer vision, robotics, and industrial automation. His work focuses on developing practical, high-performance systems for real-world manufacturing environments, with a particular emphasis on solving longstanding challenges in robotic bin picking — a critical yet technically demanding task in factory automation. His most recognized contribution, "A Low-Cost, High-Speed, and Robust Bin Picking System for Factory Automation Enabled by a Non-stop, Multi-View, and Active Vision Scheme" (2024), addresses a persistent pain point in industrial robotics: the difficulty of accurately perceiving metallic objects, which are notorious for producing sparse and noisy 3D scan data. By leveraging a multi-view sensing strategy combined with a "sensor on hand" configuration and one-shot 3D imaging, Miao's approach delivers a system that is simultaneously affordable, fast, and reliable — qualities rarely achieved together in prior work. Already accumulating citations shortly after publication, this research signals meaningful interest from both academic and industrial communities. For students and researchers in robotics and machine vision, Miao's work represents an important bridge between theoretical advances in 3D perception and the messy realities of deploying automation solutions on actual factory floors.
Research Focus
Key Achievements
Top Papers
- 1