Papers
4
Total Citations
28
H-Index
3
About
Shingo Ino is a robotics researcher focused on transforming construction sites through autonomous material handling. His primary research areas include autonomous navigation, robotic material transportation, and human-robot collaboration in complex, dynamic environments. Ino’s most significant contribution is the development of a “hallway exploration-inspired guidance” algorithm, which enables robots to navigate unstructured construction sites without pre-mapped routes—a breakthrough that has already garnered 20 citations. His work on autonomous cart docking addresses the challenge of precise robot positioning in cluttered, ever-changing environments, while his design of a gate-type robot capable of hauling loads up to five times its own weight demonstrates a practical solution to labor shortages in the industry. Ino’s research, validated through field experiments on active construction sites, bridges the gap between laboratory robotics and real-world deployment. His 2021 paper on automatic control of material handling robots further establishes his expertise in creating efficient, safe, and scalable automation systems. With a growing citation record and a focus on solving pressing industry challenges, Ino is emerging as a key innovator in construction robotics.
Research Focus
Key Achievements
Top Papers
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- 3Approaches Regarding Automatic Control of Material Handling Robots3 citations · 2021
- 4