Yan Tang

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About

Yan Tang is a pioneering researcher at the intersection of soft robotics and artificial intelligence, with a primary focus on developing non-visual sensing and intelligent recognition technologies for robotic manipulation. Their most-cited work, "AI Co-Pilot Object Recognition for Sensory Soft Robotic Grippers" (2024), addresses a critical challenge in robotics: enabling precise object recognition in dim or obstructed environments where traditional vision-based systems fail. By integrating AI co-pilot frameworks with sensory soft grippers, Tang has advanced the field beyond rigid manipulator paradigms, offering solutions that enhance manipulation performance in real-world, visually constrained settings. This contribution is particularly impactful for applications in search-and-rescue, manufacturing, and medical robotics. With 1 citation to date, this paper marks a foundational step in a rapidly growing area. Tang’s work bridges the gap between soft material mechanics and machine learning, positioning them as a key innovator in adaptive, intelligent robotic systems. Their research promises to redefine how robots interact with unstructured environments, making them safer and more versatile across industries.