Papers
1
Total Citations
3
H-Index
1
About
Yanling Fu is a researcher specializing in intelligent robotics and sensor-based manipulation, with a particular focus on flexible manipulators and non-destructive grasping technologies. Their most notable contribution is the development of an FBG (Fiber Bragg Grating)-based slip recognition and monitoring method, which enables real-time detection of slippage during grasping tasks—critical for handling delicate or deformable objects without causing damage. This work, published in 2024, has already garnered 3 citations, signaling early recognition in the field. Fu’s research bridges the gap between tactile sensing and adaptive control, offering practical solutions for applications in medical robotics, agricultural harvesting, and industrial automation where gentle yet precise manipulation is essential. By integrating optical fiber sensors into flexible structures, Fu advances the reliability and intelligence of robotic end-effectors. Their ongoing work promises to enhance the safety and efficiency of human-robot interaction, making them a rising voice in soft robotics and sensor-driven automation.
Research Focus
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Top Papers
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