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About

Hiroyuki Ichihara’s research lies at the intersection of control theory and multi-robot systems, with a particular focus on interconnected positive systems and their application to formation control and collision avoidance. His work bridges rigorous theoretical analysis with practical robotic coordination, addressing fundamental challenges in how groups of mobile robots can move safely and cohesively. Ichihara’s most cited paper, “Formation Control of Mobile Robots Based on Interconnected Positive Systems” (2017, 6 citations), introduces a novel framework that leverages the stability properties of positive systems to design scalable formation controllers. In related work, he developed a model predictive control (MPC) approach for dynamic collision avoidance among multiple robots (2017, 5 citations), where each robot solves its own MPC problem with constraints that prevent collisions with others—a method demonstrated through numerical simulations. His contributions to discrete-time interconnected positive systems (2018, 2 citations) provide sufficient conditions for stability and synthesis, offering tools that extend beyond robotics to networked systems. Though his citation counts are modest, Ichihara’s work is notable for its originality in applying positive systems theory to multi-agent coordination, opening new avenues for provably safe and stable robot swarms.