Zhenqi Wei
Papers
1
Total Citations
2
H-Index
1
About
Zhenqi Wei is a researcher focused on assistive robotics and computer vision, with a particular emphasis on navigation systems for the visually impaired. His most cited work introduces a real-time plane segmentation method designed for ROS-based navigation systems, enabling safe indoor obstacle avoidance. By leveraging surface normal estimation in range images, Wei’s approach balances two critical challenges: computational efficiency and overall accuracy. This contribution is vital for developing practical, real-time assistive technologies that enhance mobility and independence for blind users. Although his citation count is modest, the work represents a meaningful step in integrating computer vision algorithms with robotic platforms for social good. Wei’s research sits at the intersection of human-centered robotics, sensor processing, and accessibility, demonstrating how technical innovation can directly improve quality of life. His efforts underscore the importance of robust, real-time perception in dynamic indoor environments, laying groundwork for future advances in wearable and mobile assistive systems.
Research Focus
Key Achievements
Top Papers
- 1