Masashi Shiraishi

Ibaraki University, Hitachi (Japan)

Papers

4

Total Citations

28

H-Index

2

About

Masashi Shiraishi is a pioneering robotics researcher whose work spans machine vision, precision control, and human-robot interaction. His most influential contribution is a novel plant identification method using quasi-sensor fusion, which achieves robust leaf recognition independent of environmental conditions and growth stages—a foundational technique in agricultural robotics with 15 citations. He also advanced industrial automation through high-accuracy positioning in SCARA-type robots, employing sensor-based decoupling control with disturbance observers to compensate for coupling torque and load variations (9 citations). Demonstrating remarkable foresight, Shiraishi explored brain-computer interfaces for manipulator operation by decoding alpha-wave signals exhibiting 1/f fluctuation patterns, an early foray into neuro-robotic control. Additionally, he developed master-slave quadruped walking robots for rough terrain, using radio control to overcome limitations in real-time environmental recognition. Though his citation counts are modest, Shiraishi’s work bridges multiple disciplines—from agricultural vision to precision manufacturing and neural control—showcasing a versatile engineering mind. His research on sensor fusion and decoupling control remains relevant for modern autonomous systems, while his BCI experiments anticipated today’s growing interest in non-invasive neural interfaces for robotics.

Research Focus

Key Achievements

2
H-Index
4
Papers
28
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
Plant Identification From Leaves Using Quasi-Sensor Fusion
15 citations · 1996
📈 Most Prolific Year: 1996 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Ibaraki University, Hitachi (Japan)

Top Papers

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  4. 4

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago