Zheng Xiao
Papers
1
Total Citations
2
H-Index
1
About
Zheng Xiao is a researcher specializing in mobile robotics and computer vision, with a particular focus on monocular vision systems for autonomous navigation. His most-cited work, "Planar-Based Visual Positioning for a Mobile Robot with Monocular Vision" (2017), introduces a method for estimating a robot's position using planar features extracted from a single camera, offering a computationally efficient alternative to stereo or depth-sensor approaches. This contribution addresses a key challenge in robotics—accurate localization in unstructured environments—by leveraging geometric constraints from planar surfaces like floors or walls. While his citation count remains modest, with 2 citations for this paper, the work demonstrates a foundational approach that could influence low-cost robotic platforms. Xiao’s research bridges theoretical geometry and practical deployment, making it relevant for students and engineers developing vision-based navigation systems for indoor robots. His focus on planar-based methods highlights a niche but critical area in visual SLAM and positioning, contributing to the broader goal of enabling autonomous robots to operate reliably with minimal sensor hardware.
Research Focus
Key Achievements
Top Papers
- 1Planar-Based Visual Positioning for a Mobile Robot with Monocular Vision2 citations · 2017