Hideo Terao

Hokkaido University

Papers

14

Total Citations

319

H-Index

7

About

Dr. Hideo Terao is a pioneering researcher in agricultural robotics, whose work has fundamentally advanced the automation of field operations. His research focuses on autonomous navigation, path planning, and sensor fusion for agricultural mobile robots and robot tractors. Dr. Terao’s major contributions include developing early neural network and genetic algorithm-based path planning for agricultural robots (96 citations), and creating robust navigation systems that integrate RTK-GPS with inertial measurement units and fiber optic gyroscopes (FOG) for real-time, high-precision localization. His work on sensor fusion algorithms, which compensate for location errors and estimate absolute heading angles, has been foundational for autonomous tractor guidance. Notably, his 2013 study on field automation using robot tractors (42 citations) demonstrated a complete system capable of tilling operations, while his optimal steering control algorithms (20 citations) addressed the critical challenge of curved path following. Dr. Terao’s research, spanning from the late 1990s to 2013, has accumulated over 300 citations, establishing him as a key figure in the transition from manual to autonomous farming. His development of multi-spectrum image sensors for crop status detection further showcases his holistic approach to smart agriculture.

Research Focus

Key Achievements

7
H-Index
14
Papers
319
Total Citations
23
Avg Citations/Paper
🏆 Most Cited Paper
Path planning of an agricultural mobile robot by neural network and genetic algorithm
96 citations · 1997
📈 Most Prolific Year: 2001 (5 Papers)
🤝 Key Collaborators: 12
🏛 Institutions: Hokkaido University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago