Masao Dohi
Papers
5
Total Citations
63
H-Index
3
About
Masao Dohi is a pioneering researcher in the intersection of agricultural robotics and industrial safety, whose work has shaped how robots interact with both humans and delicate environments. His primary research areas include human-robot collaboration, factory automation safety, and agricultural robotics—particularly for tomato production. Dohi’s most influential contribution is the development of a teaching pendant optimized for robot applications, which redefined operator safety and usability in industrial settings (35 citations). He also advanced precision agriculture by designing a 3-D vision system for a tomato production robot, enabling fruit harvesting and plant training through laser-based image recognition (14 citations). In the era of IoT and Industry 4.0, Dohi proposed the concept of “Collaboration Safety” for human-robot coexistence, addressing the critical need for safe interaction in increasingly automated manufacturing systems (10 citations). His work on portable robotic operation terminals further demonstrated how wireless technology could enhance both safety and usability in factory environments. With a career spanning foundational safety protocols to cutting-edge agricultural automation, Dohi’s research continues to influence the design of robots that work alongside people—whether on the factory floor or in the greenhouse.
Research Focus
Key Achievements
Top Papers
- 1Development of teaching pendant optimized for robot application35 citations · 2009
- 23-D vision system of tomato production robot14 citations · 2004
- 3
- 4
- 5