About

Shingo Murata is a pioneering roboticist whose career has been largely defined by his groundbreaking work on self-reconfigurable modular robotic systems. He is perhaps best known as a key contributor to the development of M-TRAN (Modular Transformer), a landmark distributed robotic system composed of homogeneous modules capable of autonomously changing their physical configuration — a paper that has garnered over 568 citations and remains a cornerstone reference in the field. Murata's research systematically addressed the full engineering challenge of modular robotics, spanning hardware design, motion planning, and automatic locomotion generation, with multiple papers from 2002 to 2007 collectively accumulating hundreds of citations. His work elegantly bridged theoretical frameworks and experimental validation, demonstrating real-world crawling, walking, and reconfiguration behaviors. Beyond hardware systems, Murata expanded his research into machine learning, proposing novel neural network architectures capable of learning time-dependent stochastic structures from fluctuating time series — work with compelling applications in robot learning through tutoring. With a cumulative citation profile exceeding 1,500 references across his most influential publications, Murata's contributions have profoundly shaped modern understanding of adaptive, reconfigurable robotic architectures and distributed autonomous systems.

Research Focus

Key Achievements

22
H-Index
57
Papers
2,325
Total Citations
41
Avg Citations/Paper
🏆 Most Cited Paper
M-TRAN: self-reconfigurable modular robotic system
568 citations · 2002
📈 Most Prolific Year: 2002 (7 Papers)
🤝 Key Collaborators: 55
🏛 Institutions: Tokyo Institute of Technology, Japan Science and Technology Agency, National Institute of Advanced Industrial Science and Technology, Waseda University, Keio University, National Institute of Informatics

Top Papers

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    Self-reconfigurable robots
    214 citations · 2007
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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago