Yingli Wu

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About

Yingli Wu is a robotics researcher focused on assistive technologies for the visually impaired, specializing in autonomous navigation and human-robot interaction. Their major contributions lie in developing intelligent guiding robots for both outdoor and indoor environments. In their 2022 work on vision-based outdoor blind guiding robots, Wu innovatively enhanced the artificial potential field method for path planning by integrating data from ultrasonic radar and inertial sensors, allowing the robot to accurately identify and categorize obstacles ahead. This work has garnered 4 citations. The following year, Wu addressed the critical challenge of independent indoor mobility for blind individuals, designing a low-cost indoor guide robot equipped with 2D LiDAR and a depth camera. This system constructs occupancy grid maps enriched with semantic information, enabling safer and more intuitive navigation through complex indoor spaces. With 3 citations, this research demonstrates Wu’s commitment to practical, accessible solutions. By combining sensor fusion, semantic mapping, and cost-effective hardware, Wu’s work significantly advances the field of assistive robotics, offering promising pathways toward greater autonomy and quality of life for visually impaired individuals.