Makoto Mizukawa
Shibaura Institute of Technology, NTT (Japan), SIT Graduate Institute
Papers
68
Total Citations
546
H-Index
13
About
Makoto Mizukawa is a robotics researcher whose work spans human-robot interaction, robot middleware standardization, and autonomous systems for daily living environments. His most influential contributions lie at the intersection of affective computing and service robotics, particularly his pioneering studies on emotion recognition using physiological signals. His 2010 paper on emotion monitoring from physiological signals (38 citations) and his subsequent work on ECG-based emotion recognition (30 citations) established foundational methods for enabling service robots to detect and respond to human emotional states such as fear, anger, and sadness—advancing the vision of emotionally intelligent domestic robots. Mizukawa has also made substantial contributions to robot software architecture and standardization, actively promoting RT-middleware technology through the Object Management Group (OMG), with multiple reports from international technical meetings reflecting sustained engagement with global standards communities. His 2013 work on model-based development using SysML, Simulink, and Simscape (28 citations) addressed critical challenges in system-level design verification for robotic platforms. Beyond software infrastructure, his research encompasses person-following autonomous robots using multi-Kinect RGB-D sensing, cloth-folding housekeeping robots, and real-world navigation challenges through the Tsukuba Challenge initiative. Together, these contributions paint the portrait of a researcher committed to bridging theoretical robotics with practical, human-centered applications.
Research Focus
Key Achievements
Top Papers
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- 7Robot Middleware and its Standardization in OMG19 citations · 2006
- 8ORiN: Open Robot Interface for the Network, a proposed standard18 citations · 2000
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