Papers
9
Total Citations
73
H-Index
5
About
Koji Shiratsuchi is a leading researcher in industrial robotics, specializing in the automation of complex assembly tasks that have long resisted mechanization. His primary contributions lie in developing intelligent robotic systems capable of handling flexible, deformable objects—specifically cables with connectors—a critical bottleneck in electronic product assembly. Shiratsuchi pioneered the integration of proprietary 3D vision sensing and force control to enable robots to extract, recognize, and insert flexible cables, as demonstrated in his highly cited 2011 work (27 citations). He further advanced bin-picking technology by introducing a multi-gripper switching strategy that adapts to object sparseness, allowing robots to handle diverse daily items efficiently (13 citations). His work also extends to telepresence vision systems for manipulation and fault detection in threaded fastening. Notably, Shiratsuchi led Team C2M in the Amazon Picking Challenge 2016, showcasing cooperative robots for warehouse picking and stowing. With a career spanning from rescue robotics to collision-check methods for factory automation, his research directly addresses real-world manufacturing challenges, making him a pivotal figure in bringing flexible, intelligent automation to industrial production lines.
Research Focus
Key Achievements
Top Papers
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- 3A robotic assembly system capable of handling flexible cables with connector11 citations · 2011
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- 8Fault Detection Algorithm for Thread Fastening by Robotic Manipulator2 citations · 2012
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