Yuta Tatsumoto
Papers
1
Total Citations
43
H-Index
1
About
Yuta Tatsumoto is a researcher in discrete-event systems and multi-robot coordination, with a focus on applying formal methods to industrial automation. His most-cited work, "Application of online supervisory control of discrete-event systems to multi-robot warehouse automation" (2018, 43 citations), introduces a novel framework for real-time coordination of autonomous robots in warehouse environments. By leveraging supervisory control theory, Tatsumoto enables scalable, deadlock-free operations without centralized planning, directly addressing challenges in logistics and smart manufacturing. This contribution has influenced subsequent research in distributed automation and cyber-physical systems. Beyond this flagship paper, his work bridges theoretical control engineering with practical robotics, emphasizing safety and efficiency in dynamic settings. Tatsumoto’s research is particularly notable for its impact on warehouse automation, a critical area in e-commerce and supply chain management. With growing recognition in the control systems community, his approach offers a rigorous yet implementable solution for multi-agent coordination, making him a key figure in the intersection of discrete-event systems and robotics.
Research Focus
Key Achievements
Top Papers
- 1