Youning Duo
Papers
10
Total Citations
413
H-Index
6
About
Youning Duo is an emerging robotics researcher whose work sits at the dynamic intersection of soft robotics, flexible sensing, and human-robot interaction. His research focuses on developing advanced multimodal flexible sensors — including triboelectric nanogenerators, laser-induced graphene systems, and giant magnetoelastic effect-based devices — and integrating them into intelligent robotic platforms capable of sophisticated environmental perception and autonomous manipulation. Duo's most influential contribution, "Touchless Interactive Teaching of Soft Robots through Flexible Bimodal Sensory Interfaces" (2022, 239 citations), introduced a groundbreaking flexible bimodal smart skin enabling humans to teach soft robots skilled locomotion using bare hands — a landmark step toward intuitive human-robot collaboration. His subsequent work on self-powered bimodal sensors for object perception and description (99 citations) further demonstrated his ability to translate sensing innovation into practical robotic intelligence. Beyond terrestrial applications, Duo has extended his research into challenging environments, designing underwater continuum manipulators, aerial-aquatic hybrid robots inspired by remora biology, and deep-sea sensorized soft grippers. His consistent development of bio-inspired, data-driven solutions across aerial, aquatic, and deep-sea domains reflects remarkable research breadth. With over 410 cumulative citations and a growing body of work, Duo represents a distinctive voice in next-generation soft robotic systems.
Research Focus
Key Achievements
Top Papers
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