Tomoki Nagatani
Papers
2
Total Citations
33
H-Index
2
About
Tomoki Nagatani is a robotics researcher advancing automation in manufacturing and retail service environments. His work centers on two key areas: intelligent assembly sequence planning for industrial robots and autonomous mobile manipulation for service tasks. In his most cited work (22 citations), Nagatani developed a method to automatically generate complex assembly sequences from 3D CAD models, using a genetic algorithm to minimize human intervention in robot teaching—a significant step toward fully automated manufacturing. His second major contribution (11 citations) addresses workforce shortages in retail through an autonomous service robot capable of restocking, straightening, and disposal tasks. This mobile manipulator features an innovative extendable, compliant end effector and custom automation software, designed for safe human-aware operation. Nagatani’s research bridges the gap between theoretical robotics and practical deployment, tackling real-world labor challenges while reducing manual programming effort. His work on CAD-driven assembly planning and human-robot interaction in retail settings demonstrates a commitment to making automation accessible and efficient across industries.
Research Focus
Key Achievements
Top Papers
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- 2