Shigemi Nagata

Fujitsu (Japan), Tokyo Institute of Technology

Papers

10

Total Citations

489

H-Index

6

About

Shigemi Nagata is a pioneering robotics researcher whose career has been defined by two deeply interconnected themes: neural network-based robot control and multi-robot cooperative positioning. Beginning in the early 1990s, Nagata broke ground with his work on hierarchical neural networks for mobile robot behavior control, demonstiting how structured learning algorithms could enable autonomous robots to interpret sensory input and make decisions — foundational contributions that earned over 100 citations. His most celebrated achievement, however, is the development of the Cooperative Positioning System (CPS), a novel framework in which multiple robots alternate between stationary and mobile roles to function as dynamic landmarks for one another. This elegant solution to the persistent challenges of dead reckoning — wheel slippage, uneven terrain, and accumulated error — attracted 278 citations for his landmark 2002 paper and spawned a productive research program spanning experimental validation, redundant data fusion, and real-world applications such as autonomous cleaning robots. Across more than a decade of sustained inquiry, Nagata advanced the practical viability of autonomous mobile robotics, leaving a legacy that continues to inform multi-robot localization research today.

Research Focus

Key Achievements

6
H-Index
10
Papers
489
Total Citations
49
Avg Citations/Paper
🏆 Most Cited Paper
Cooperative positioning with multiple robots
278 citations · 2002
📈 Most Prolific Year: 2002 (3 Papers)
🤝 Key Collaborators: 12
🏛 Institutions: Fujitsu (Japan), Tokyo Institute of Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago