Naoto Miyamoto

Tohoku University

Papers

3

Total Citations

48

H-Index

3

About

Naoto Miyamoto is a leading researcher in construction robotics and autonomous heavy machinery, with a focus on automating earthmoving and site monitoring. His work centers on developing retrofitted robotic systems for large-scale dump trucks, enabling autonomous driving and precise path planning for tasks like loading and leaving sediment. Miyamoto’s key contributions include pioneering the use of retrofitted robots to control six-wheeled dump trucks, demonstrated in his most-cited paper, “Autonomous Driving of Six-Wheeled Dump Truck with a Retrofitted Robot” (2021, 30 citations). He also advanced semantic mapping of construction sites by integrating multiple daily airborne LiDAR data, creating high-level environmental knowledge for robots to interact with dynamic surroundings (2021, 14 citations). His research on path planning for turning back maneuvers during backhoe work (2022, 4 citations) addresses urgent industry needs for automation. With a growing citation impact, Miyamoto’s work is notable for bridging robotics and construction, offering practical solutions to enhance safety and efficiency on job sites. His achievements highlight a commitment to transforming traditional earthmoving through innovative, retrofitted automation.

Research Focus

Key Achievements

3
H-Index
3
Papers
48
Total Citations
16
Avg Citations/Paper
🏆 Most Cited Paper
Autonomous Driving of Six-Wheeled Dump Truck with a Retrofitted Robot
30 citations · 2021
📈 Most Prolific Year: 2021 (2 Papers)
🤝 Key Collaborators: 18
🏛 Institutions: Tohoku University

Top Papers

  1. 1
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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago