Tetsu Akegawa
Papers
2
Total Citations
18
H-Index
2
About
Tetsu Akegawa is a leading researcher in construction robotics and autonomous heavy machinery, with a focus on enabling large-scale earthmoving operations through advanced sensing and planning. His work addresses critical challenges in automating dump trucks and construction vehicles to improve safety and efficiency on job sites. Akegawa’s most influential paper, “Semantic Mapping of Construction Site From Multiple Daily Airborne LiDAR Data” (2021, 14 citations), pioneered the use of semantic maps to give robots high-level environmental understanding, moving beyond static snapshots to capture dynamic site conditions. This contribution is foundational for autonomous navigation in unstructured environments. His subsequent work, “Path Planning of the Turning Back of an Autonomous Large-Scale Six-Wheeled Dump Truck for Loading/Leaving Sediment Based on Backhoe Work” (2022, 4 citations), addresses a practical bottleneck in automating dump trucks: precise positioning for loading and unloading sediment. By retrofitting sensors and driving robots, Akegawa’s research directly supports the urgent industry need to automate earthmoving, reducing human exposure to hazardous tasks. His achievements demonstrate a rare combination of theoretical mapping and applied path planning, making him a key figure in the push toward fully autonomous construction sites.
Research Focus
Key Achievements
Top Papers
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