About

Masaru Nakano is a pioneering researcher in industrial robotics and automation, with a particular focus on green manufacturing and intelligent robot systems. His work bridges the gap between theoretical modeling and practical industrial applications, especially in assembly robotics and manufacturing automation. Nakano’s most cited paper, “Editorial: Automation in green manufacturing” (2012), with 40 citations, highlights his leadership in exploring how information technology—including modeling, analysis, control, and optimization—can drive sustainable manufacturing practices. He developed a specialized image preprocessor for model-based vision systems in assembly robots (2005, 11 citations), leveraging look-up tables and semiconductor memory for high-speed, low-cost visual processing. His task-level teaching system, ROPSII (2002, 4 citations), introduced an object-oriented, three-dimensional visual programming language that simplifies robot task instruction. Earlier, Nakano contributed to Toyota’s robot off-line programming system for spot welding (1992, 2 citations), significantly reducing engineering time. His work has advanced the integration of automation with environmental sustainability, making manufacturing processes more efficient and adaptable. Nakano’s research remains influential for students and engineers seeking to develop smarter, greener robotic systems for industry.

Research Focus

Key Achievements

3
H-Index
4
Papers
57
Total Citations
14
Avg Citations/Paper
🏆 Most Cited Paper
Editorial: Automation in green manufacturing
40 citations · 2012
📈 Most Prolific Year: 2012 (1 Papers)
🤝 Key Collaborators: 19
🏛 Institutions: Keio University, Toyota Central Research and Development Laboratories (Japan), Toyota Motor Corporation (Switzerland)

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago