About

Daisuke Kurabayashi is a robotics researcher whose work spans multi-robot coordination, bio-inspired algorithms, and the fascinating intersection of biological and artificial systems. His most influential contributions lie in the domain of cooperative mobile robotics, where his 2002 cluster of papers — collectively accumulating over 275 citations — established foundational algorithms for area coverage, work-area division, cooperative grasping, and local communication optimization in multi-robot systems. These works addressed critical challenges in deploying robot swarms efficiently across real-world environments. Beyond classical robotics, Kurabayashi has pursued a compelling research thread inspired by insect behavior. His moth-inspired chemical plume tracing algorithm (2017, 52 citations) offers robust solutions for navigating turbulent environments, while his artificial pheromone system using RFID (2007) creatively bridges biological stigmergy with engineered navigation. Perhaps most strikingly, his work on brain-machine hybrid systems and the innovative 3-DOF servosphere demonstrates a deep commitment to understanding and replicating insect locomotion and adaptability, pushing boundaries between neuroscience and robotics. With a career marked by interdisciplinary breadth and consistent methodological rigor, Kurabayashi's research offers valuable insights for students interested in swarm robotics, bio-inspired computing, and human-robot interaction.

Research Focus

Key Achievements

18
H-Index
77
Papers
990
Total Citations
13
Avg Citations/Paper
🏆 Most Cited Paper
Cooperative sweeping by multiple mobile robots
151 citations · 2002
📈 Most Prolific Year: 2002 (17 Papers)
🤝 Key Collaborators: 86
🏛 Institutions: The University of Tokyo, Tokyo Institute of Technology, RIKEN, Federal Research and Clinical Center of Physical-Chemical Medicine named after Y.M. Lopukhin, Precision Research (United States)

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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