Hideo Terao
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
Top Papers
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- 3Field Automation Using Robot Tractor42 citations · 2013
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- 6Field Mobile Robot navigated by RTK-GPS and FOG (Part 2)13 citations · 2001
- 7Enhancement of Turning Accuracy by Path Planning for Robot Tractor11 citations · 2013
- 8Field Mobile Robot Navigated by RTK-GPS and FOG (Part 3)7 citations · 2002
- 9Multi-Spectrum Image Sensor for Detecting Crop Status by Robot Tractor6 citations · 2001
- 10Navigation Systems and Work Performance of Tilling Robot (Part 2)6 citations · 2001