Xinpei Huang

Papers

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About

Xinpei Huang is a robotics researcher whose work centers on advancing sensor technologies for robotic manipulation, with a particular focus on integrating tactile and visual feedback to enhance grasping capabilities. Huang’s most notable contribution, detailed in the 2025 paper "Design of an improved visual-tactile sensor for robotic grasping," introduces a novel sensor design that fuses visual data with tactile sensing to improve the precision and adaptability of robotic hands in complex environments. This work, already garnering early citations, addresses a critical challenge in robotics: enabling machines to handle objects with the dexterity and sensitivity of human touch. By optimizing sensor architecture for real-time feedback, Huang’s research has implications for industrial automation, prosthetics, and human-robot interaction. Though early in their career, Huang’s focus on multimodal sensing positions them as an emerging voice in the field, with potential to influence next-generation robotic systems that require nuanced physical interaction. Their work underscores a commitment to bridging the gap between artificial perception and real-world manipulation.