Yuanye Zhang
Papers
1
Total Citations
3
H-Index
1
About
Yuanye Zhang is a researcher whose work sits at the intersection of soft robotics, intelligent sensing, and human–machine interaction, with a particular focus on tactile perception. Their key research areas include magnetostrictive tactile sensor arrays, texture recognition, and the application of convolutional neural networks (CNNs) to robotic perception. Zhang’s major contribution lies in developing a novel magnetostrictive tactile sensor array that enables robots to recognize the surface texture of fabrics with different materials and winding patterns in unstructured environments. This work, published in 2023, has already garnered 3 citations, demonstrating early impact in a rapidly growing field. By combining soft sensing with deep learning, Zhang has advanced the capability of robots to process fabrics more effectively, a critical step toward automating tasks in textile manufacturing, healthcare, and assistive robotics. Their notable achievement includes bridging the gap between tactile sensing and intelligent classification, offering a practical solution for robots to perceive and interact with deformable materials. Yuanye Zhang’s research holds promise for enhancing robotic dexterity and autonomy in real-world applications.
Research Focus
Key Achievements
Top Papers
- 1