Shogo Yoneyama
Papers
2
Total Citations
10
H-Index
2
About
Shogo Yoneyama is a robotics researcher specializing in autonomous mobile robot navigation, particularly in adverse weather conditions. His primary research areas include outdoor robotics, sensor perception, and real-world robot challenges. Yoneyama’s major contribution lies in addressing the critical problem of LIDAR performance degradation in rainy environments. Through his most-cited work, "Development of Autonomous Mobile Robot that Can Navigate in Rainy Situations" (2016, 8 citations), he demonstrated a robot capable of autonomously navigating a 1 km path under strong rain, a key achievement in the Real World Robot Challenge (RWRC). His follow-up study (2 citations) systematically investigated how raindrops interfere with LIDAR laser beams, affecting obstacle avoidance and navigation accuracy. By quantifying these effects and developing mitigation strategies, Yoneyama advanced the robustness of outdoor autonomous systems. His work is notable for bridging the gap between controlled laboratory conditions and real-world environmental challenges, making him a pioneer in rain-resilient mobile robotics. For students and researchers, Yoneyama’s research highlights the importance of addressing sensor limitations in field robotics, inspiring future work on all-weather autonomous navigation.
Research Focus
Key Achievements
Top Papers
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- 2