Shotaro Ogawa

Keio University

Papers

4

Total Citations

56

H-Index

2

About

Shotaro Ogawa is a robotics and manufacturing automation researcher whose work centers on the development of intelligent robotic systems for precision polishing applications. His research addresses a critical gap in modern manufacturing: the automation of polishing processes traditionally dependent on the expertise of skilled human workers — a field increasingly pressured by workforce shortages, rising costs, and occupational health hazards associated with abrasive dust exposure. Ogawa's most significant contribution lies in the design and control of macro-micro robotic systems equipped with active end-effectors capable of adaptive force regulation. His 2022 paper, "Robot Polishing Control with an Active End Effector Based on Macro-Micro Mechanism and the Extended Preston's Law," has garnered 50 citations, demonstrating strong uptake within the robotics and precision engineering communities. This work extended Preston's classical material removal law to better model and control robotic polishing behavior, a meaningful theoretical and practical advancement. His broader body of work explores gravity compensation strategies, sensorless force control, and performance evaluation frameworks for polishing robots — collectively building a coherent roadmap toward fully automated, high-quality surface finishing. Ogawa's research holds particular relevance for fine mold manufacturing and represents a compelling bridge between advanced control theory and real-world industrial automation challenges.

Research Focus

Key Achievements

2
H-Index
4
Papers
56
Total Citations
14
Avg Citations/Paper
🏆 Most Cited Paper
Robot polishing control with an active end effector based on macro-micro mechanism and the extended Preston's law
50 citations · 2022
📈 Most Prolific Year: 2021 (2 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Keio University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago