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About

Xinyue Li is a robotics and control systems researcher whose work spans two compelling domains: robotic micromanipulation using optical tweezers and adaptive robot control. Li's most significant contributions lie in developing closed-loop control frameworks for biological cell manipulation, an area traditionally dominated by open-loop approaches. Their landmark 2014 paper introducing a PD control scheme for optical tweezers-based cell manipulation has garnered 44 citations, establishing a foundational methodology for more precise, feedback-driven micromanipulation. Building on this, Li's 2012 work on dynamic region control further advanced closed-loop robotic methods for optical tweezers, accumulating 22 citations and demonstrating sustained influence in biomedical robotics. Beyond micromanipulation, Li has explored human-inspired adaptive control strategies, notably developing a dual task-space controller that mimics the way humans transition between visual and non-visual guidance during reaching tasks. More recently, Li has extended expertise into industrial robotics, addressing tool posture optimization for robot-assisted surface milling. Collectively, Li's research bridges precision biomedical engineering and practical industrial automation, offering meaningful contributions to both communities and reflecting a versatile, impact-driven research career.