Lili Zu
Papers
1
Total Citations
3
H-Index
1
About
Lili Zu is a robotics researcher focused on assistive technologies for visually impaired individuals, with particular emphasis on indoor navigation systems. Her most notable contribution is the development of a low-cost indoor blind guiding robot that integrates two-dimensional Lidar and depth cameras to construct occupancy grid maps with semantic information. This work addresses a critical accessibility challenge by enabling autonomous indoor navigation for blind individuals, reducing dependency on human accompaniment and lowering associated labor costs. Her 2023 paper on this topic has garnered early citations, reflecting growing interest in affordable assistive robotics. Zu’s research combines practical engineering with social impact, demonstrating how sensor fusion and mapping algorithms can be applied to real-world accessibility solutions. Her work stands out for its focus on cost-effective implementation, making advanced navigation technology more accessible to underserved populations. As the field of assistive robotics expands, Zu’s contributions represent an important step toward creating autonomous systems that enhance independence and quality of life for people with visual impairments.
Research Focus
Key Achievements
Top Papers
- 1