Shuiqing Chen

Southern University of Science and Technology

Papers

Total Citations

201

H-Index

About

Shuiqing Chen is a leading researcher in the field of robotic tactile sensing and intelligent perception, with a focus on developing bio-inspired sensory systems that bridge the gap between human-like touch and machine recognition. Their most cited work, "A robotic sensory system with high spatiotemporal resolution for texture recognition" (2023, 201 citations), introduces a groundbreaking approach that mimics the human finger's ability to simultaneously capture static pressure and high-frequency vibrations during gentle sliding motions. This innovation addresses a critical limitation in modern robotics, where flexible sensors can detect pressure, shear force, and strain but fail to achieve the spatiotemporal resolution necessary for precise texture identification. Chen's contributions have significantly advanced the integration of high-resolution tactile feedback into robotic systems, enabling more nuanced and reliable object recognition. With a growing citation impact, their work is widely recognized for pushing the boundaries of soft robotics and human-machine interaction, offering transformative potential for applications in prosthetics, manufacturing, and autonomous systems. Chen continues to drive innovation at the intersection of materials science and robotics, shaping the future of intelligent tactile perception.