Hayato Ohwada

Tokyo University of Science

Papers

4

Total Citations

69

H-Index

3

About

Hayato Ohwada is a pioneering researcher in robotics and artificial intelligence, with a career spanning multi-agent systems and agricultural automation. His early work established foundational methods for robot collaboration, notably through the development of a concurrent logic programming language (MRL) for cooperative control and a Web-based framework for unified communication with heterogeneous robots—enabling remote operation of mobile robots and vision sensors via browsers and Java. These contributions, cited over 50 times collectively, laid the groundwork for scalable multi-robot coordination. In recent years, Ohwada has applied deep learning to precision agriculture, creating a CNN-based system that automatically measures and determines the body condition score of cows from 3D images. This innovation addresses Japan’s shift toward larger, more intensive livestock operations—where individual animal health monitoring becomes critical—and has garnered 17 citations since 2018. By bridging robotics, concurrent programming, and AI-driven livestock management, Ohwada demonstrates a sustained ability to solve complex, real-world coordination problems, from factory floors to dairy farms.

Research Focus

Key Achievements

3
H-Index
4
Papers
69
Total Citations
17
Avg Citations/Paper
🏆 Most Cited Paper
Smart office robot collaboration based on multi-agent programming
40 citations · 1999
📈 Most Prolific Year: 1999 (1 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: Tokyo University of Science

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago