Michio Kise
Papers
9
Total Citations
136
H-Index
7
About
Michio Kise is a pioneering researcher in agricultural robotics, specializing in autonomous navigation and field automation. His work centers on developing intelligent systems for robot tractors and robotic mowers, integrating advanced sensor fusion techniques to enable precise, real-time operation in complex outdoor environments. Kise’s major contributions include the creation of steering controllers optimized for curved paths and turning maneuvers, significantly enhancing the accuracy and safety of autonomous vehicles in agricultural settings. His research on sensor fusion, combining RTK-GPS with inertial measurement units and fiber-optic gyroscopes (FOG), has been foundational for robust heading estimation and localization. Notably, his studies on vision-based mapping and containment detection for robotic mowers have advanced the practical deployment of autonomous lawn care. With his most-cited paper, "Field Automation Using Robot Tractor" (42 citations), and a series of influential works on RTK-GPS and FOG navigation (totaling over 130 citations), Kise has demonstrated lasting impact. His achievements include developing algorithms that compensate for sensor bias in real-time, enabling reliable field robot operation, and his work remains essential reading for researchers in precision agriculture and autonomous vehicle navigation.
Research Focus
Key Achievements
Top Papers
- 1Field Automation Using Robot Tractor42 citations · 2013
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- 4Field Mobile Robot navigated by RTK-GPS and FOG (Part 2)13 citations · 2001
- 5Vision-based localization and mapping for an autonomous mower13 citations · 2013
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- 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
- 9Field Mobile Robot Navigated by RTK-GPS and FOG (Part 4)3 citations · 2002