Tsubasa Hoshi
Papers
2
Total Citations
17
H-Index
2
About
Tsubasa Hoshi is a robotics researcher whose work focuses on the autonomous operation of heavy machinery, specifically wheel loaders used in mining and construction. His primary research areas include motion planning, path optimization, and autonomous loading systems for industrial vehicles. Hoshi’s major contribution is the development of algorithms that simultaneously determine optimal unloading points and efficient paths between scooping and unloading locations for wheel loaders. His 2015 paper on this topic, which has garnered 15 citations, presents a novel approach to minimizing total travel distance during loading cycles, significantly improving operational efficiency. This work addresses critical challenges in the mining industry, where harsh environments and operator shortages drive the need for autonomous systems. Hoshi also contributed to comparative studies of motion planning algorithms, including K-turn maneuvers, as detailed in his 2014 paper. His research bridges the gap between theoretical robotics and practical industrial applications, offering solutions that enhance productivity and safety in resource extraction. By tackling the complex coordination of path planning and task allocation in real-time, Hoshi’s work represents an important step toward fully autonomous heavy equipment operations.
Research Focus
Key Achievements
Top Papers
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