Ichi Takumi
Papers
5
Total Citations
12
H-Index
2
About
Ichi Takumi’s research lies at the intersection of disaster robotics, multi-agent systems, and autonomous navigation. Their work focuses on developing intelligent robotic systems that can replace human responders in hazardous environments, particularly for evacuation guidance and communication infrastructure restoration. Takumi’s most cited paper, “Evaluation of Evacuation Guidance by Robots Using Multi-Agent Simulation” (2019, 4 citations), introduces a disaster mitigation framework where robots autonomously guide evacuees, modeled through multi-agent simulations to optimize real-world deployment. Building on this, subsequent studies (2017, 2 citations each) further validated these guidance strategies in simulated environments. Takumi also contributed to autonomous exploration with “An Exploration Algorithm Suitable for Indoor Mapping Based on RRT-Exploration” (2023, 2 citations), improving computational efficiency for large-scale mapping. Their earlier work on “Robot utilization method using agent technology for establishment of wireless communication path in event of disaster” (2016, 2 citations) addresses post-disaster communication blackouts by deploying robots as mobile wireless nodes. Though citation counts are modest, Takumi’s systematic approach—from simulation to algorithm design—provides foundational insights for resilient, robot-assisted disaster response systems.
Research Focus
Key Achievements
Top Papers
- 1Evaluation of Evacuation Guidance by Robots Using Multi-Agent Simulation4 citations · 2019
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