Hailei Yuan

Nanjing University of Science and Technology

Papers

Total Citations

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About

Hailei Yuan is a robotics researcher whose work focuses on assistive navigation technologies, particularly for visually impaired individuals. His key research areas include bipedal locomotion, robotic navigation assistance, and human-robot interaction. Yuan's major contribution is the development of the Smart Cane, a Robotic Navigation Assistance (RNA) device that integrates walking path generation with biped constraint modeling. His most cited work, "Improving Walking Path Generation Through Biped Constraint in Indoor Navigation System for Visually Impaired Individuals" (2024, 11 citations), introduces a novel approach that combines the Linear Inverse Pendulum Model (LIPM) with indoor navigation to generate safer, more natural walking paths for users. This work addresses a critical gap in assistive robotics by accounting for human biomechanics in path planning. Yuan's research has the potential to significantly improve mobility and independence for visually impaired individuals, bridging the gap between robotic navigation and human walking dynamics. His innovative approach to integrating bipedal constraints into navigation systems represents a meaningful step forward in assistive robotics.