Zheng Xiao

Hunan University

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

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Planar-Based Visual Positioning for a Mobile Robot with Monocular Vision
2 citations · 2017
📈 Most Prolific Year: 2017 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Hunan University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago