Ryuta Sugie
Papers
3
Total Citations
8
H-Index
2
About
Ryuta Sugie is a researcher focused on disaster mitigation and autonomous robotic systems, with a primary emphasis on evacuation guidance in emergency scenarios. His work leverages multi-agent simulation to design and evaluate robots that can autonomously lead people to safety, substituting for human responders in hazardous environments. Sugie’s key contributions include developing simulation frameworks that test the function and performance of guidance robots under realistic conditions, as demonstrated in his most-cited paper, "Evaluation of Evacuation Guidance by Robots Using Multi-Agent Simulation" (2019, 4 citations). This foundational study provides critical insights for deploying robots in real-world disasters, addressing challenges like crowd dynamics and robot-human interaction. His subsequent papers, "Verification Using Multi-agent Simulation for Evacuation Guidance with Robots" (2017, 2 citations) and "Investigation Using Multi-Agent Simulation Environment for Evacuation Guidance with Robots" (2017, 2 citations), further validate these approaches, collectively advancing the field of autonomous emergency response. While his citation counts are modest, Sugie’s work is notable for its practical focus on creating resilient, robot-assisted evacuation systems, offering a scalable solution to improve public safety during crises. His research is particularly relevant for students and engineers interested in robotics, disaster management, and multi-agent systems.
Research Focus
Key Achievements
Top Papers
- 1Evaluation of Evacuation Guidance by Robots Using Multi-Agent Simulation4 citations · 2019
- 2
- 3