Eiichi Muramoto

Papers

Total Citations

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About

Eiichi Muramoto is a researcher working at the intersection of autonomous robotics, software engineering, and search-based optimization, with a particular focus on the design and configuration of autonomous delivery systems. His work addresses a pressing real-world challenge: how to systematically and efficiently design fleets of autonomous robots for goods delivery that satisfy competing stakeholder requirements while reducing traffic congestion, pollution, and operational costs. Muramoto's most significant contributions center on developing intelligent, automated approaches to navigate the complex design spaces inherent in autonomous delivery systems. His research introduces incremental search-based allocation strategies and stability-aware exploration techniques that help engineers identify robust, high-performing configurations for robot fleets — accounting for variables such as robot numbers, operating hours, and speed. Notably, he has investigated multi- and many-objective search methods to ensure that discovered solutions remain reliable and stable under real-world variability, not merely optimal in theory. Though early in establishing his citation record — with his most-cited work accumulating 10 citations since 2023 — Muramoto's research tackles timely and practically significant problems at the frontier of autonomous systems engineering. His contributions offer valuable tools and insights for researchers and practitioners working to make autonomous delivery systems both efficient and dependable.