Xiaolin Yu

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About

Xiaolin Yu is a researcher focused on assistive robotics and autonomous navigation systems, with a particular emphasis on improving mobility solutions for individuals with disabilities. Their most notable contribution is the development of a SLAM (Simultaneous Localization and Mapping)-based indoor autonomous navigation system for electric wheelchairs, published in 2022 and garnering 10 citations to date. This work addresses critical limitations in current wheelchair technologies—manual wheelchairs that require significant physical exertion and electric wheelchairs that impose cognitive burdens on users, leading to driving fatigue. By integrating SLAM algorithms, Yu's system enables electric wheelchairs to autonomously navigate complex indoor environments, reducing user effort and enhancing safety and independence. This research sits at the intersection of robotics, human-computer interaction, and rehabilitation engineering, offering practical solutions for aging populations and individuals with limited mobility. Yu's work is particularly impactful for students and researchers in autonomous systems and assistive technology, demonstrating how advanced robotics can be translated into real-world applications that improve quality of life. Their contributions highlight a commitment to accessible, user-centered design in robotics.