Makoto Takizawa

Seikei University, Tokyo Denki University

Papers

4

Total Citations

53

H-Index

2

About

Makoto Takizawa is a leading researcher in distributed autonomous systems, with a primary focus on fault-tolerant coordination and swarm robotics. His most influential work addresses the flocking problem for groups of mobile robots, where he developed algorithms that enable robots to form and maintain a desired geometric pattern while moving together, even in the presence of failures. His seminal 2010 paper, "Fault-tolerant flocking for a group of autonomous mobile robots," has garnered 41 citations, establishing a foundation for resilient multi-robot formations. Expanding on this, his 2009 study on "Fault-Tolerant Flocking of Mobile Robots with Whole Formation Rotation" further explores how robots can rotate their entire formation without losing cohesion, a critical capability for real-world navigation. Beyond theoretical advances, Takizawa has contributed to applied robotics, notably through an experimental evaluation of a waste management robot system (2012), addressing environmental challenges like kitchen garbage processing. He also developed coordination protocols for reliable Sensor, Actuator, and Device Networks (SADNs) in 2008, integrating wireless sensor and actuator networks for robust system control. His work bridges theory and practice, offering scalable solutions for autonomous systems in dynamic and hazardous environments.

Research Focus

Key Achievements

2
H-Index
4
Papers
53
Total Citations
13
Avg Citations/Paper
🏆 Most Cited Paper
Fault-tolerant flocking for a group of autonomous mobile robots
41 citations · 2010
📈 Most Prolific Year: 2010 (1 Papers)
🤝 Key Collaborators: 10
🏛 Institutions: Seikei University, Tokyo Denki University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago