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About

Tadaaki Hasegawa is a pioneering roboticist whose research spans bipedal locomotion, mobile robot localization, and intelligent planning under uncertainty. His most influential work focuses on real-time motion generation and control for biped robots, particularly his 2009 paper on integrated balance control—cited 86 times—which introduced a novel feedback gain design technique to stabilize upper body position under varying vertical ground reaction forces, a critical challenge for achieving stable biped running. This contribution has significantly advanced the field of humanoid robotics by addressing the complex dynamics of maintaining balance during dynamic locomotion. Hasegawa also made early contributions to mobile robotics with his 1991 work on position identification using range information, a method that matches horizontal cross-section data with pre-registered maps to determine a robot’s location in unknown environments. More recently, he has explored online adaptation of uncertain models through neural network priors and partially observable planning, aiming to equip robots with richer world models for real-world manipulation tasks. His research demonstrates a sustained commitment to bridging theoretical control and practical robotic autonomy, with applications from humanoid balance to adaptive manipulation.