Lefan Wang

Papers

Total Citations

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About

Lefan Wang is a researcher whose work sits at the intersection of soft robotics, haptic sensing, and medical instrumentation. His key research areas include 3D-printed optical sensors, slip detection for robotic grasping, and rehabilitation technologies. Wang’s major contributions include the design and evaluation of a novel 3D-printed optical sensor for monitoring finger flexion—a foundational paper with 25 citations that has influenced work in robotics, virtual reality, and rehabilitation. More recently, he has advanced the field of robot-assisted surgery by investigating incipient slip sensing as an alternative to traditional haptic feedback, a study that has already garnered 10 citations and addresses a critical limitation in surgical robotics. Wang’s work is notable for its practical, application-driven approach, combining sensor innovation with real-world clinical and robotic challenges. His research demonstrates a clear trajectory from fundamental sensing principles to translational applications in healthcare and human-robot interaction, making him a rising voice in the development of more intuitive and responsive robotic systems.