Yixian Su

Papers

Total Citations

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About

Yixian Su is a researcher whose work sits at the intersection of tactile sensing, human-machine interaction, and optical tracking. Su’s key contributions focus on developing novel sensor systems that enable robots to perceive and interact with their environments more naturally. Their most cited work, "New tactile sensor for position detection based on distributed planar electric field" (2016, 20 citations), introduces an innovative approach to contact localization. Su also pioneered the "MEMSEye" system (2011, 17 citations), a MEMS-mirror based optical 3D tracking method designed to advance real-time interaction in human-machine interfaces and industrial robotics. Additionally, Su developed a new robot skin (2014, 8 citations) capable of simultaneously detecting both contact force and position, aiming to make robotic touch sensing more intuitive and practical. Across these projects, Su’s work consistently addresses the challenge of giving robots a more refined sense of touch and spatial awareness, with applications ranging from collaborative robotics to advanced input devices. Their research represents a meaningful step toward more responsive and perceptive robotic systems.