Hiroto Inahara

Kobe University, California Maritime Academy

Papers

Total Citations

H-Index

About

Hiroto Inahara is an emerging researcher specializing in swarm robotics and intelligent search algorithms, with a particular focus on applying bio-inspired computational methods to real-world rescue and disaster relief scenarios. His most notable contribution centers on the development of a novel search algorithm that integrates Particle Swarm Optimization (PSO) with virtual pheromone mechanisms for coordinating swarm robot systems — a hybrid approach that combines the strengths of both global and local search strategies to enhance efficiency in complex environments. Inahara's work addresses a critical challenge in disaster response: enabling autonomous robot swarms to systematically locate victims in unpredictable, hazardous settings where human intervention may be limited or impossible. By drawing on principles from both swarm intelligence and ant colony behavior, his algorithm represents a meaningful step forward in making multi-robot coordination more adaptive and robust. Published in 2022, his key paper has accumulated citations across multiple venues, reflecting growing interest from the robotics and artificial intelligence communities. While Inahara's citation profile is still developing, his research sits at a timely intersection of humanitarian technology and intelligent systems — an area poised for significant growth as autonomous rescue robotics continues to advance.