Sadaaki Kunimatsu

Papers

Total Citations

H-Index

About

Sadaaki Kunimatsu’s research lies at the intersection of robotics, control theory, and auditory perception, with a focus on enabling robots to move intelligently in response to sound. His most cited work (7 citations) introduces a motion planning method for mobile auditory robots that uses simultaneous perturbation stochastic approximation to maximize speech recognition confidence—a critical step toward robots that can navigate toward and engage with human speakers. In parallel, Kunimatsu has advanced bipedal locomotion through his work on l∞ preview control (2 citations), offering a novel approach to generating stable walking patterns by minimizing the worst-case tracking error. Though his citation counts are modest, the originality of his contributions is clear: he bridges optimization-based motion planning with auditory feedback, and applies preview control theory to the challenging domain of biped walking. His work is particularly notable for tackling the underexplored problem of integrating real-time auditory cues into robotic motion, a capability essential for natural human-robot interaction. Kunimatsu’s research provides a foundation for future systems that must both hear and move with precision.