Michikuni Eguchi

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About

Michikuni Eguchi is a rising researcher in swarm robotics, specializing in bio-inspired and physics-based control strategies for multi-robot systems. His work centers on enabling robot swarms to navigate complex, obstacle-rich environments without relying on advanced individual sensing or inter-robot communication. Eguchi’s major contribution is the development of a novel control framework inspired by smoothed particle hydrodynamics (SPH), a computational fluid dynamics technique. In his 2024 paper, "Robot Swarm Control Based on Smoothed Particle Hydrodynamics for Obstacle-Unaware Navigation," he demonstrated how a swarm can collectively adapt to unknown obstacles by mimicking fluid flow, achieving emergent obstacle avoidance from simple local interactions. This approach has garnered early attention with 4 citations, signaling its potential to address a fundamental limitation in swarm robotics: the need for robust, decentralized navigation under sensory constraints. His follow-up work, "FluidicSwarm: Embodiment of Swarm Robots Using Fluid Behavior Imitation" (2025), further explores the embodiment of fluid dynamics in physical robot platforms. Eguchi’s research offers a promising path toward scalable, resilient swarms for applications in search-and-rescue, environmental monitoring, and exploration, where individual robot capabilities are necessarily limited.