Takayuki Serizawa

Papers

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About

Takayuki Serizawa is a robotics researcher whose work focuses on advancing the locomotion capabilities of humanoid robots, particularly through stepless slip motions such as shuffling, parallel translation, and pivot turns. His major contribution lies in proposing simple feedback control methods that enable humanoid robots to move without the traditional stepping motion, which is often inefficient and less stable for short-range maneuvers. By leveraging forward and backward tilting of the body, Serizawa’s approach enhances stability and efficiency in constrained environments. His most-cited paper, “SHUFFLE TURN OF HUMANOID ROBOT SIMULATION BASED ON EMG MEASUREMENT” (2013, 4 citations), integrates electromyography (EMG) data to refine control strategies, bridging human biomechanics with robotic design. Though his citation counts are modest, his work is notable for addressing a niche but critical challenge in robotics—improving maneuverability in tight spaces where stepping is impractical. Serizawa’s research has been validated through dynamic simulations, offering a foundation for future applications in service robots and assistive technologies. His contributions are particularly relevant for students and researchers exploring non-traditional gait patterns in humanoid robotics.