Leyi Zeng

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About

Leyi Zeng is a leading researcher at the intersection of human-robot interaction and intelligent sensing, with a primary focus on advancing humanoid robot dexterity. Her most cited work, "Digitizing Human Motion via Bending Sensors toward Humanoid Robot" (2023), has garnered 23 citations and represents a pivotal contribution to the field. In this study, Zeng pioneered the use of flexible bending sensors to capture and digitize complex human motions, enabling humanoid robots to replicate nuanced movements with unprecedented fidelity. This breakthrough directly addresses a critical bottleneck in robotics: the gap between human-like appearance and actual functional dexterity. By translating human biomechanics into actionable robotic control signals, her work lays the foundation for robots that can intuitively use human tools and navigate environments designed for people. Zeng’s research is particularly notable for its practical implications in assistive robotics and manufacturing, where precise motion replication is essential. Her innovative sensor-based approach has been recognized as a key step toward closing the gap between human capability and robotic performance, making her a rising voice in the quest for truly human-like robotic systems.