M. Sugawara

Papers

Total Citations

H-Index

About

M. Sugawara is a pioneering researcher in distributed autonomous robotic systems, with a primary focus on developing robust communication strategies for multi-robot cooperation. His most significant contribution is the creation of LOCISS (Local Communication System based on Infrared), a spatially seamless local communication system that employs infrared light and a time-sharing communication strategy to prevent communication convergence. This innovation addresses a critical challenge in swarm robotics: enabling multiple robots to autonomously coordinate and execute complex tasks without centralized control or signal interference. Sugawara's work, exemplified by his 2018 paper "Development of Spatially Seamless Local Communication System Based on Time Sharing Communication Strategy," has garnered attention for its practical approach to real-world robotic collaboration. By restricting communication to local, time-divided channels, his system ensures reliable data exchange even in dense robot populations. Though his citation count (3) reflects the specialized nature of his research, Sugawara's contributions are foundational for advancing autonomous multi-robot systems in applications ranging from search-and-rescue to industrial automation. His work continues to inspire researchers seeking scalable, decentralized solutions for robotic teamwork.