Zongming Yang

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About

Zongming Yang is a researcher dedicated to enhancing mobility and independence for individuals with disabilities, particularly those who are blind, visually impaired, or have limited mobility. His work sits at the intersection of assistive robotics, computer vision, and human-computer interaction, focusing on creating intelligent, user-centered systems. Yang's major contributions include the development of "SeeWay," a vision-language assistive navigation system for the blind and visually impaired (BVI), which has garnered 12 citations for its novel approach to extending mobility and safety. He has also pioneered work on autonomous wheelchairs, modeling user stability and comfort through 3-D mapping (7 citations), and introduced the "Embodied-AI Wheelchair Framework" (5 citations), which features a hands-free interface and manipulation capabilities. By combining state-of-the-art hardware and software, Yang's research aims to provide safer, more independent, and productive lifestyles for users, moving beyond traditional robotic navigation approaches to address real-world comfort and usability challenges. His work represents a significant step toward practical, empathetic assistive technology.