Mengge Xue

Shandong University of Science and Technology

Papers

Total Citations

H-Index

About

Mengge Xue is a rising researcher in the field of soft robotics and tactile sensing, with a focus on developing intelligent, flexible systems that bridge the gap between human perception and machine interaction. Her work centers on creating soft, optical fiber-based sensors that can mimic the human sense of touch, enabling robots to perceive force positioning and object shape with remarkable subtlety. In her most-cited paper, "Learning the human perceptions of touch force positioning and object shape using a soft optical fiber tactile sensing pad" (2024, 8 citations), she introduces a novel approach that combines soft materials with machine learning to interpret tactile data, offering a pathway toward more intuitive human-robot collaboration. Her earlier contribution, "Intelligent soft self-twisted shape sensor" (2023, 3 citations), demonstrates her ability to design self-deforming sensors that adapt to their environment, a key step toward autonomous, shape-aware robotic systems. Though early in her career, Xue’s work is already attracting attention for its potential applications in prosthetics, wearable technology, and interactive robotics, positioning her as an innovator in the quest to give machines a gentle, perceptive touch.