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About

Yin Xianghui is a leading researcher in soft robotics and tactile sensing, with a focus on enabling robots to operate effectively in challenging, low-visibility environments. His major contributions center on the development of universal jamming grippers that integrate high-quality tactile perception with robust grasping capabilities. His most cited work, "TaTa: A Universal Jamming Gripper with High-Quality Tactile Perception and Its Application to Underwater Manipulation" (2022, 35 citations), demonstrates how large-area, high-precision tactile sensing compensates for visual limitations in turbid or dark conditions. Building on this, his "JamTac: A Tactile Jamming Gripper for Searching and Grasping in Low-Visibility Environments" (2023, 12 citations) introduces a novel soft gripper with high-resolution tactile feedback and integrated sensing-grasping capabilities, mimicking human efficiency in the dark. Additionally, his work on soft joint shape measurement using FBG sensors (2022, 4 citations) addresses the challenge of continuous, accurate shape estimation for complex robotic joints. Yin's innovations are pivotal for advancing robotic manipulation in underwater, smoky, and dim settings, with clear applications in search-and-rescue and industrial automation.