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About

Hajime Sakamoto is a robotics researcher whose work has profoundly shaped the field of humanoid robot motion control, locomotion optimization, and autonomous behavior. His research spans several interconnected areas, including bipedal walking, expressive motion realization, robot soccer, and human-robot interaction, with a particular focus on making humanoid robots move with both stability and naturalness. Sakamoto's most influential contribution, garnering 44 citations, details the hardware and software integration of an autonomous humanoid soccer robot capable of fast, stable performance — a landmark achievement in the competitive RoboCup domain. Building on this, his walking speed optimization research (39 citations) introduced hardware-in-the-loop methods that significantly advanced efficient locomotion for platforms like the HR18. Notably, he pushed the boundaries of expressive motion by realizing Tai-Chi movements on humanoid platforms, demonstrating that robots could perform fluid, culturally rich human motions beyond simple locomotion. His work on dance motion control synchronized to real-time musical audio further highlighted this creative dimension. Sakamoto also contributed to robot localization and extended-knee walking with parallel link legs, advancing more human-like gait patterns. With over 170 cumulative citations, his body of work represents a meaningful and multifaceted contribution to humanoid robotics research and education.