Kohei Naito
Papers
1
Total Citations
11
H-Index
1
About
Dr. Kohei Naito is a robotics and sustainability researcher whose work bridges artificial intelligence and electronic waste recycling. His primary research areas include robotic manipulation, deep learning for industrial automation, and sustainable e-waste processing. Dr. Naito’s most notable contribution is his pioneering work on applying deep learning to robotic disassembly of printed circuit boards—a critical step toward automating the recovery of valuable metals and resins from discarded electronics. His 2021 paper, “Recycling of printed circuit boards by robot manipulator: A Deep Learning Approach,” has garnered 11 citations and addresses Japan’s near-total dependence on foreign metal resources by proposing a domestic, AI-driven recycling solution. This work not only tackles the toxic elements requiring special treatment but also reduces environmental harm from e-waste. Dr. Naito’s research is particularly impactful for students and researchers interested in the intersection of robotics, computer vision, and circular economy. His achievements highlight how intelligent automation can transform waste management, offering a scalable path toward resource independence and sustainable manufacturing.
Research Focus
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Top Papers
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