Shingo Nakamura
Papers
2
Total Citations
19
H-Index
2
About
Shingo Nakamura is a robotics researcher whose work focuses on advancing autonomous mobile robot navigation and perception in real-world environments. His major contributions center on developing robust self-localization and person-searching capabilities for robots operating in unstructured, public spaces. Nakamura is best known for his involvement in the Tsukuba Challenge, a demanding competition where autonomous robots navigate a public road route and perform tasks like locating specific individuals. His 2016 paper on the “MML-05” robot, based on the i-Cart Mini platform, details a self-localization method that achieved accurate positioning in this challenging outdoor setting, garnering 10 citations. Building on this, his 2018 work introduced a novel approach using an omnidirectional camera and a Convolutional Neural Network (CNN) to enable simultaneous person searching—a task that requires both reliable navigation and real-time detection. This study, with 9 citations, demonstrates his ability to integrate computer vision with mobile robotics for practical, competition-driven applications. Nakamura’s research is notable for its direct relevance to field robotics, pushing the boundaries of what autonomous systems can achieve in dynamic, human-populated environments.
Research Focus
Key Achievements
Top Papers
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- 2