Ryosuke Amano
Papers
2
Total Citations
9
H-Index
2
About
Ryosuke Amano is a robotics researcher whose work focuses on autonomous navigation and real-time obstacle avoidance for mobile robots operating in human-centered environments. His key contributions lie in developing robust, layered control architectures that enable robots to handle complex, dynamic scenarios safely. Notably, his 2013 paper on an "Emergency obstacle avoidance module for mobile robots using a laser range finder" (5 citations) introduced a subsumption architecture that layers simple behaviors—from basic wandering to emergency stopping—to achieve rapid, collision-free movement. This work is foundational for ensuring robot safety in unpredictable settings. Amano also advanced autonomous elevator navigation, detailed in his 2012 paper (4 citations), which describes a JAUS-compliant system for the Tsukuba Challenge. This algorithm allowed a mobile robot to autonomously board an elevator, a critical capability for multi-floor service robots. While his citation counts are modest, Amano’s research directly addresses practical, high-stakes challenges in field robotics, demonstrating how layered control can bridge the gap between laboratory prototypes and real-world deployment. His work remains a valuable reference for engineers designing robust navigation systems for service and assistive robots.
Research Focus
Key Achievements
Top Papers
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- 2