Lingtao Zhang

Shanghai Industrial Technology Institute, Sany (China)

Papers

Total Citations

H-Index

About

Lingtao Zhang is a robotics and human-machine interface researcher whose work spans assistive robotics, neural signal processing, and autonomous navigation systems. Zhang's most celebrated contribution is the development of a wearable supernumerary robotic limb (SRL) system designed to restore functional independence for stroke survivors suffering from upper-limb hemiplegia. Published in 2022 and garnering 56 citations, this landmark study introduced a hybrid control framework that seamlessly integrates motor imagery-based brain-computer interface signals with real-time object detection, enabling intuitive, hands-free robotic assistance — a significant advance in rehabilitative and augmentative technology. Earlier in Zhang's career, foundational work focused on indoor mobile robot localization, with contributions in 2012 and 2015 demonstrating robust self-localization algorithms using artificial landmarks and binocular stereo vision. These studies, accumulating 14 and 7 citations respectively, addressed critical challenges in noisy, real-world indoor environments and helped lay groundwork for reliable autonomous navigation. Collectively, Zhang's research reflects a progression from intelligent robotic perception to human-centered assistive systems, positioning their work at the intersection of rehabilitation engineering, computer vision, and cognitive neural interfaces — fields of growing urgency as aging populations and neurological conditions demand more sophisticated technological support.