Masashi Shiraishi
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
Top Papers
- 1Plant Identification From Leaves Using Quasi-Sensor Fusion15 citations · 1996
- 2
- 3Manipulator operation by using brain-wave signals2 citations · 2005
- 4Master-slave quadruped walking robot2 citations · 2002