Kaoru Sawai

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About

Kaoru Sawai is an emerging researcher specializing in autonomous robotics, multi-objective optimization, and search-based software engineering, with a particular focus on the design and deployment of autonomous robot delivery systems. Sawai's work addresses one of modern logistics' most pressing challenges: creating efficient, sustainable delivery solutions that balance competing stakeholder requirements, including traffic reduction, pollution minimization, and operational cost management. A central contribution of Sawai's research lies in developing and refining search-based allocation strategies for autonomous delivery fleets. Their 2023 paper on incremental search-based allocation has garnered 10 citations, establishing a foundational framework for optimizing robot deployment under real-world constraints. Building on this, Sawai introduced stability-aware exploration of design spaces — a novel dimension that moves beyond performance optimization to ensure that discovered configurations remain robust and reliable over time, accumulating 6 citations. Sawai has also investigated multi- and many-objective search techniques, demonstrating how automated methods can navigate complex configuration spaces for autonomous delivery systems. Collectively, these contributions signal a researcher making meaningful strides at the intersection of artificial intelligence, systems engineering, and sustainable urban mobility, with growing influence across the autonomous systems research community.