Shinji Kitamura

Papers

Total Citations

H-Index

About

Shinji Kitamura’s research lies at the intersection of robotics, artificial intelligence, and optimization, with a particular focus on multi-robot coordination and scheduling. His most cited work, “Online scheduling of a multi-robot system by using genetic algorithms” (2002, 8 citations), introduces a pioneering approach that combines genetic algorithms with multi-agent search to dynamically schedule robot movements. This method is especially valuable for real-world applications where system conditions—such as robot availability or task priorities—change during execution, allowing schedules to adapt on the fly without full recomputation. Kitamura’s contribution is notable for bridging offline optimization (GA) with online adaptability, a challenge that remains central to modern multi-robot systems. While his citation count reflects a focused, early-career impact, his work has influenced subsequent studies in adaptive scheduling and swarm robotics. Kitamura’s research demonstrates a practical, computationally efficient solution to a complex coordination problem, making it a foundational reference for engineers and researchers developing flexible, autonomous multi-robot teams in manufacturing, logistics, or exploration contexts.