M Tsuji

About

M. Tsuji’s research lies at the intersection of robotics, human motion analysis, and emotional expression, with a focus on enabling humanoid robots to generate actions that convey nuanced, lifelike emotions. Their key contribution involves developing methods to normalize temporal variations in action time series, using wavelet coefficients to align and standardize motion data. This work addresses a fundamental challenge in robotics: how to make robot movements feel natural and emotionally resonant despite the inherent timing fluctuations in human demonstrations. While their most cited paper, “Time normalization of action time series using their wavelet coefficients—for generation of humanoid robots’ actions with fertile emotions” (2002, 2 citations), has modest citation numbers, it represents an early and innovative attempt to bridge signal processing and affective robotics. Tsuji’s approach offers a computational framework for translating human emotional timing into robotic motion, laying groundwork for more expressive human-robot interaction. Their research remains relevant for scholars exploring how temporal dynamics shape perceived emotion in artificial agents.

Research Focus

Key Achievements

Top Papers

1. 1
   Time normalization of action time series using their wavelet coefficients-for generation of humanoid robots' actions with fertile emotions

   2 citations · 2002

Key Collaborators

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