Seiji FURUNO

Kitakyushu National College of Technology

Papers

3

Total Citations

16

H-Index

3

About

Seiji Furuno is a robotics researcher focused on smart agriculture and industrial automation, with key contributions in vision-based fruit recognition and vibration control for robotic systems. His most cited work, "Tomato Recognition for Harvesting Robots Considering Overlapping Leaves and Stems" (2021, 8 citations), addresses a critical challenge in agricultural robotics: accurately identifying ripe tomatoes in complex, occluded environments. This research supports the development of autonomous harvesting systems to combat labor shortages in aging farming populations. Furuno also advanced industrial robotics with "Vibration Suppression Control Using Vibration Node of Articulated Robot with Multiple Vibration Modes" (2012, 4 citations), proposing acceleration feedback control to reduce residual vibrations during high-speed positioning—enabling faster, more precise operations. Additionally, his work "Wiping the mouth using the robot arm with information of RGB-D sensor" (2019, 4 citations) demonstrates cross-domain applications, using depth sensing for assistive robotics in healthcare. While his citation counts reflect a developing career, Furuno’s research spans agricultural automation, industrial precision, and human-robot interaction, showcasing a versatile approach to solving real-world problems through robotics and sensor integration.

Research Focus

Key Achievements

3
H-Index
3
Papers
16
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Tomato Recognition for Harvesting Robots Considering Overlapping Leaves and Stems
8 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: Kitakyushu National College of Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago