Daisuke Inoue

Toyota Central Research and Development Laboratories (Japan)

Papers

Total Citations

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About

Daisuke Inoue is a robotics researcher whose work centers on the theoretical foundations and practical algorithms underpinning swarm robot systems — decentralized collectives of mobile robots prized for their environmental adaptability and inherent fault tolerance. His research addresses some of the most fundamental challenges in this domain, including autonomous deployment, localization, and self-organizing behavior. Among his most recognized contributions is his 2021 work on optimal transport-based coverage control, which elegantly generalizes classical Voronoi tessellation methods to provide more principled and flexible deployment strategies for robot swarms, accumulating 6 citations. Complementing this, his 2019 research on distributed range-based localization introduced a sensor fusion framework that couples exteroceptive distance measurements with proprioceptive estimation, enabling swarms to localize without reliance on external infrastructure — a practically significant achievement that has drawn 5 citations. His additional work on stochastic self-organizing control further demonstrates his commitment to developing robust, scalable coordination mechanisms that function under real-world uncertainty. Collectively, Inoue's research advances the mathematical and algorithmic toolkit available to swarm robotics, bridging optimization theory, probabilistic sensing, and distributed control in ways increasingly relevant to researchers designing resilient autonomous multi-robot systems.