Daiki Kodama
Papers
1
Total Citations
3
H-Index
1
About
Daiki Kodama is a researcher at the forefront of cyber-physical systems (CPS) and wireless communication, with a sharp focus on enhancing the reliability of millimeter-wave radio for safe robotic operations. His most-cited work, "Enhancing Indoor Millimeter Radio Communication: A Probabilistic Approach to RSS Map Estimation" (2024, 3 citations), tackles a critical challenge in CPS: accurately estimating Received Signal Strength (RSS) maps. Kodama’s probabilistic method addresses the inherent uncertainties in indoor environments, offering a robust framework that enables robots to navigate and communicate more safely. This contribution is particularly vital for applications where communication dropouts could compromise safety. While his citation count is still growing, Kodama’s work stands out for its practical relevance, bridging the gap between theoretical signal estimation and real-world robotic deployment. His research underscores a commitment to foundational problems in wireless reliability, positioning him as a promising voice in the evolving landscape of CPS. For students and researchers, Kodama’s approach exemplifies how probabilistic modeling can transform complex communication challenges into actionable solutions for autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1