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About

Tomoya Myojin is a robotics researcher whose work centers on humanoid robot motion generation, with a particular specialization in impact dynamics and the application of impulsive forces. His research addresses a fundamental challenge in robotics: enabling humanoid robots to exert large forces on their environment through coordinated whole-body dynamics, much as humans naturally do when performing forceful tasks. Myojin's most significant contribution is the development of impact dynamics models and sequential optimization frameworks that allow humanoid robots to generate controlled impact motions while maintaining balance. His most cited work (27 citations) formalizes these principles through Sequential Quadratic Programming (SQP)-based optimization, providing a robust mathematical foundation for the field. Earlier foundational studies, including his analyses of nailing tasks as a paradigmatic example of impact motion, laid the groundwork for this broader framework and collectively garnered over 30 additional citations. His research has practical implications for industrial and assistive robotics, where robots must perform physically demanding tasks requiring forceful interaction with their surroundings. Through the development of visualization and motion generation support systems, Myojin has also contributed tools that bridge theoretical modeling and real-world experimental validation, making his work valuable to both robotics researchers and engineers seeking to deploy capable, force-aware humanoid systems.