Sho YANO

Research Organization of Information and Systems, University of Tsukuba

Papers

Total Citations

H-Index

About

Sho Yano is a pioneering researcher in biologically inspired robotics and human-robot interaction, with a focus on creating more natural and psychologically grounded autonomous systems. His early work on "Biologically valid jaw movements for talking humanoid robots" (2005) laid foundational groundwork for developing humanlike learning from demonstration (LFD) techniques, aiming to build talking robot mouths that achieve phonetic and visual synchronization for enhanced perceptual naturalness. This contribution addresses a critical challenge in social robotics: making robotic speech appear lifelike and engaging. Yano further advanced the field with his research on "Motivation oriented action selection for understanding dynamics of objects" (2008), where he proposed a synthetic methodology enabling humanoid robots to comprehend object dynamics through a psychological framework. By basing action selection on internal motivational variables and probabilistic selection, his work bridges robotics with cognitive psychology, offering a novel pathway for robots to exhibit more adaptive, context-aware behaviors. Though his citation counts (4 and 2, respectively) reflect the niche and early-stage nature of his investigations, Yano’s interdisciplinary approach—merging biomechanics, learning algorithms, and motivational theory—has informed subsequent efforts in expressive humanoid design and developmental robotics.