Papers
1
Total Citations
8
H-Index
1
About
Hao Lin is a robotics researcher whose work sits at the intersection of computer vision, non-prehensile manipulation, and sustainable automation. His primary focus is on developing intelligent robotic systems capable of handling complex, unstructured environments—particularly in the challenging domain of metal recycling. Lin’s most notable contribution is his pioneering approach to fully automated metal sorting, where he tackles the difficult problem of separating scrap metals like aluminum and copper from physically attached impurities. By combining advanced vision algorithms with non-prehensile manipulation strategies (such as pushing, sliding, or tapping rather than grasping), his work addresses the inherent irregularities of recyclable materials that have long resisted automation. His 2021 paper on this topic has garnered 8 citations, establishing a foundation for future work in sustainable robotics. Lin’s research is not only technically innovative but also carries significant environmental impact, aiming to reduce waste and improve resource recovery. For students and researchers interested in the intersection of robotics, computer vision, and sustainability, Lin’s work offers a compelling example of how robotic systems can be designed to operate reliably in the messy, unpredictable real world.
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Top Papers
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