Hikari Fujii

Keio University

Papers

7

Total Citations

31

H-Index

4

About

Dr. Hikari Fujii’s research focuses on intelligent control systems for autonomous mobile robots, with a particular emphasis on cooperative multi-robot coordination and robust decision-making under uncertainty. Her major contributions center on developing cooperative control methods that enable robots to evaluate and share information about their progress toward shared objectives, allowing teams to adapt dynamically even when individual robots face incomplete or unreliable sensor data. This work is especially critical in real-world environments—such as robotic soccer—where visual occlusion and noise are common. Her most cited paper, “Cooperative Control Method Using Evaluation Information on Objective Achievement” (8 citations), along with related studies on compensating for missing information and adapting to dynamic surroundings, collectively demonstrate how robots can maintain effective collaboration despite environmental disturbances. Dr. Fujii has also contributed to simulation tools, including a three-dimensional dynamics simulator with an omnidirectional vision model, which supports testing and validation of these control strategies. Her research bridges the gap between theoretical multi-agent coordination and practical deployment in challenging, information-limited settings, offering foundational insights for students and engineers working on autonomous systems, sensor fusion, and resilient robot teamwork.

Research Focus

Key Achievements

4
H-Index
7
Papers
31
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Cooperative Control Method Using Evaluation Information on Objective Achievement
8 citations · 2008
📈 Most Prolific Year: 2005 (2 Papers)
🤝 Key Collaborators: 12
🏛 Institutions: Keio University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago