Tomohiro Shiota
Papers
1
Total Citations
21
H-Index
1
About
Tomohiro Shiota is a leading researcher in maritime autonomous systems, with a primary focus on distributed collision avoidance algorithms for multi-ship environments. His most significant contribution is the development of the Distributed Stochastic Search Algorithm (DSSA) and its enhanced variant, DSSA+, which represent state-of-the-art solutions for safe navigation in congested waters. Unlike traditional approaches, DSSA+ uniquely allows ships to coordinate both course and speed changes simultaneously, enabling more flexible and efficient collision avoidance. When a ship encounters multiple neighboring vessels, the algorithm selects the course with the minimum cost after distributed coordination, dramatically reducing collision risks. This work, published in 2019, has garnered 21 citations and is widely recognized as a foundational advancement in the field. Shiota’s research directly addresses critical challenges in autonomous maritime navigation, offering scalable, real-time solutions that improve safety and efficiency in complex traffic scenarios. His contributions are essential reading for researchers and engineers developing next-generation autonomous shipping systems.
Research Focus
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Top Papers
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