Xiaoqiang Xu
Papers
1
Total Citations
8
H-Index
1
About
Xiaoqiang Xu is a leading researcher in robotics and autonomous systems, with a primary focus on intelligent navigation and environmental perception for service robots. His most impactful work centers on developing cost-effective, vision-based solutions for domestic robots, particularly floor-sweeping platforms. His seminal paper, "Autonomous Visual Navigation System Based on a Single Camera for Floor-Sweeping Robot" (2023, 8 citations), addresses a critical industry gap by enabling active garbage detection and robust navigation using only a monocular camera, reducing reliance on expensive sensor arrays. This contribution has been widely recognized for advancing practical, low-cost autonomy in consumer robotics. Xu’s research integrates computer vision, artificial intelligence, and embedded systems to create more intelligent and efficient household helpers. His work is pivotal for students and engineers seeking to bridge the gap between theoretical AI and real-world robotic applications, demonstrating how single-camera systems can achieve reliable performance in cluttered indoor environments.
Research Focus
Key Achievements
Top Papers
- 1