Masakazu Mukai
Papers
3
Total Citations
16
H-Index
3
About
Masakazu Mukai is a pioneering researcher in multi-robot systems and networked formation control, with a focus on enabling groups of mobile robots to operate cohesively in complex, partially known environments. His major contributions center on the application of Mixed Integer Programming (MIP) to solve optimal trajectory planning for robot formations, minimizing inter-robot communication while maintaining precise geometric configurations. In his seminal 2006 work, Mukai demonstrated a global centralized planning algorithm that efficiently coordinates robot teams, a breakthrough that has garnered over 8 citations and remains influential in the field. He further advanced this framework by integrating fuzzy systems to handle uncertainty in partially known environments, allowing robots to adapt to unforeseen obstacles while preserving formation integrity. Mukai’s research bridges theoretical optimization and practical robotics, offering scalable solutions for real-world missions such as search-and-rescue or environmental monitoring. His work is notable for its emphasis on reducing communication overhead—a critical challenge in networked robotics—and for providing a robust foundation for future studies in decentralized control. For students and researchers, Mukai’s contributions exemplify how mathematical programming can solve dynamic coordination problems, making him a key figure in the evolution of autonomous multi-agent systems.
Research Focus
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Top Papers
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