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About

Yuanlong Wei is a robotics researcher whose work centers on assistive robotics, autonomous navigation, and human-robot interaction, with a particular focus on improving mobility and independence for visually impaired individuals. His most significant contribution is the development of a guide-dog robot system — an innovative assistive platform that employs a hall-sensor joystick, ultrasonic sensors, and a novel "smart rope" interface to enable safe, intuitive human-robot interaction in complex urban environments. This system has been refined across multiple studies, incorporating fuzzy logic control and smartphone-based computer vision, including traffic light recognition, to enhance real-world navigability. Collectively, these guide-dog robot publications have garnered over 57 citations, reflecting their relevance to the assistive technology community. Wei's earlier work on path planning further demonstrates his technical breadth; his 2011 paper on an artificial potential field algorithm enhanced by probability mapping addresses a fundamental challenge in mobile robot control and has accumulated 16 citations. Through this body of work, Wei has made meaningful strides toward practical, sensor-rich robotic systems capable of supporting vulnerable users in dynamic, everyday settings.