Keisuke Namba
Papers
1
Total Citations
2
H-Index
1
About
Keisuke Namba is a robotics researcher whose work focuses on agricultural automation, particularly the development of sensor systems for weeding robots in paddy fields. His key research areas include capacitive touch sensing, plant detection, and autonomous navigation for precision agriculture. Namba’s major contribution is the design of a sensor system that uses two capacitive touch sensors to detect the end of rice plant rows, enabling a weeding robot to navigate effectively and avoid damaging crops. This innovation addresses a critical challenge in automated weeding—distinguishing between crop rows and open field—enhancing the efficiency of robotic weed control. While his most-cited paper, "2P1-B10 Rice Plant Line Detection Using Capacitive Touch Sensor for Weeding Robot" (2015), has garnered 2 citations, it represents foundational work in low-cost, practical sensing for agricultural robots. Namba’s research is notable for its direct application to real-world farming problems, bridging the gap between laboratory robotics and field-ready solutions. His work contributes to the broader goal of sustainable agriculture by reducing reliance on herbicides and manual labor, making him a promising figure in the field of agri-robotics.
Research Focus
Key Achievements
Top Papers
- 1