About

Masayuki Fujita is a leading robotics and control systems researcher whose work spans visual servo control, passivity-based methods, networked robotics, and human-robot interaction. His most influential contributions center on applying passivity theory to robot control — a mathematically elegant framework that guarantees stability and robustness in complex, interconnected systems. His 2015 book *Passivity-Based Control and Estimation in Networked Robotics* (234 citations) stands as a landmark reference in the field, while his earlier work on passivity-based visual feedback for 3D target tracking (122 citations) helped establish principled approaches to vision-guided robot motion. Fujita has also made significant strides in multi-robot coordination, developing coverage control strategies for mobile sensor networks with anisotropic and limited-range sensors, later extending these ideas to quadcopter teams using control barrier functions. His 2010 study on operator stress in human-robot collaborative assembly (248 citations) reflects a broader commitment to understanding the human side of automation. More recently, his investigations into human-swarm interaction demonstrate how passivity frameworks can ensure safe, operator-guided coordination of robot ensembles. Across more than two decades, Fujita's research has shaped both the theoretical foundations and practical applications of modern robotic control.

Research Focus

Key Achievements

15
H-Index
82
Papers
1,333
Total Citations
16
Avg Citations/Paper
🏆 Most Cited Paper
Assessment of operator stress induced by robot collaboration in assembly
248 citations · 2010
📈 Most Prolific Year: 2008 (6 Papers)
🤝 Key Collaborators: 76
🏛 Institutions: The University of Tokyo, Tokyo Institute of Technology, Japan Advanced Institute of Science and Technology, Osaka Institute of Technology, Waseda University, Kanazawa University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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