Haiyan Ye

Papers

Total Citations

H-Index

About

Haiyan Ye is a rising researcher at the intersection of **robotic perception**, **haptic intelligence**, and **prosthetic control systems**. Her work fundamentally advances how machines and assistive devices interpret and interact with the physical world through touch and language. Ye’s major contribution includes pioneering **text-tactile fusion** for object recognition, a paradigm shift from traditional visual-haptic methods. Her highly cited 2024 paper, "DT-Transformer," introduces a novel network that leverages textual descriptions alongside tactile data, overcoming the performance bottlenecks and dataset limitations of vision-based approaches—a breakthrough that has already garnered **7 citations** in its first year. In parallel, Ye addresses critical challenges in rehabilitation robotics with her work on **reinforcement learning for shoulder-disarticulation prostheses**. Her 2024 study on interactive control algorithms (4 citations) provides a sophisticated framework for amputees to more naturally and effectively manipulate objects, directly improving quality of life. By bridging the gap between advanced AI architectures and tangible human needs, Haiyan Ye is establishing herself as a key innovator in creating more intuitive, multimodal robotic systems.