Makoto Azegami
Papers
1
Total Citations
12
H-Index
1
About
Makoto Azegami is a researcher in networked control systems (NCSs), with a focus on the critical challenge of data compression for limited-bandwidth communication in applications such as robot teleoperation and telesurgery. His work centers on optimizing quantized feedback systems, particularly through the design of variable quantizers that balance data rate reduction with control performance. In his most-cited paper, "Optimal Input and Quantization Interval for Quantized Feedback System With Variable Quantizer" (2017, 12 citations), Azegami addresses how to determine the ideal input and quantization intervals to preserve essential control data while minimizing transmission load—a key enabler for reliable NCSs. Though his citation count reflects a niche but growing impact, his contributions are foundational for advancing real-time, remote-control systems where communication constraints are severe. Azegami’s research bridges theory and practice, offering practical solutions for telesurgery and robotics, and his work continues to influence the design of efficient, resilient networked control architectures.
Research Focus
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Top Papers
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