Naoki Sakamoto

Papers

4

Total Citations

64

H-Index

3

About

Naoki Sakamoto is a pioneering researcher at the intersection of robotics and food engineering, whose work has fundamentally advanced the field of automated food handling. His core research focuses on the mechanical design of robotic hands capable of manipulating visco-elastic objects—a notoriously difficult challenge due to the complex, time-dependent deformation of such materials. Sakamoto’s major contribution lies in his innovative application of rheological models to robotics. By adapting the Maxwell model and the Burger model—traditionally used in materials science—he created a theoretical framework to predict and compensate for the deformation of soft, sticky foods during grasping. His seminal 2007 paper, "An Optimum Design of Robotic Hand for Handling a Visco-elastic Object Based on Maxwell Model," which has garnered 44 citations, uses the iconic Japanese "Norimaki-sushi" as a case study, demonstrating how to mathematically model its dynamic behavior for precise robotic manipulation. This work laid the groundwork for a new generation of adaptive grippers capable of handling delicate items without damage. Sakamoto’s research is not merely theoretical; it directly addresses a critical bottleneck in food automation, promising to revolutionize everything from sushi preparation to the packaging of baked goods. His achievements represent a significant step toward a future where robots can safely and efficiently handle the soft, variable objects that populate our kitchens and factories.

Research Focus

Key Achievements

3
H-Index
4
Papers
64
Total Citations
16
Avg Citations/Paper
🏆 Most Cited Paper
An Optimum Design of Robotic Hand for Handling a Visco-elastic Object Based on Maxwell Model
44 citations · 2007
📈 Most Prolific Year: 2007 (3 Papers)
🤝 Key Collaborators: 4

Top Papers

  1. 1
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  4. 4
    Basic Consideration on Robotic Food Handling by Using Burger Model
    3 citations · 2007

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago