Sokichi Ogawa

Kawasaki Heavy Industries (Japan)

Papers

1

Total Citations

5

H-Index

1

About

Sokichi Ogawa is a researcher whose work centers on industrial robotics and manufacturing automation, with a particular focus on off-line teaching systems for complex fabrication processes. His most-cited contribution, the 2001 paper "Off-line teaching system of a robot cell for steel pipe processing," has garnered 5 citations and addresses a critical bottleneck in robotic precision: the ability to program robots for marking and cutting steel pipes without requiring direct, on-site manual guidance. This work is notable for bridging the gap between simulation and real-world industrial application, enhancing both safety and efficiency in metalworking environments. Ogawa’s research demonstrates a practical, systems-level approach to robotics, where the integration of off-line programming reduces downtime and improves accuracy in high-stakes manufacturing settings. While his citation count reflects a niche but impactful contribution, his work remains relevant for engineers and researchers developing automated solutions for heavy industry, particularly in the context of steel processing and robotic cell optimization.

Research Focus

Key Achievements

1
H-Index
1
Papers
5
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Off-line teaching system of a robot cell for steel pipe processing
5 citations · 2001
📈 Most Prolific Year: 2001 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: Kawasaki Heavy Industries (Japan)

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago