Guobin Ma

Papers

1

Total Citations

5

H-Index

1

About

Guobin Ma is a researcher focused on robotics and computer vision, with a particular emphasis on rescue and disaster response applications. His work addresses critical challenges in post-disaster environments, such as coal mine gas explosions, where rapid and reliable environmental sensing is essential. Ma’s major contribution lies in developing stereo vision matching algorithms tailored for rescue robots operating in narrow, hazardous underground tunnels. His 2017 paper on this topic, which has garnered 5 citations, proposes a real-time detection technique to feedback mine conditions and locate victims, overcoming the limitations of human access in confined spaces. While his citation count is modest, the work is notable for its practical relevance to life-saving operations and its integration of stereo vision with robotic mobility in extreme conditions. Ma’s research bridges the gap between theoretical computer vision and field robotics, offering a foundation for future innovations in autonomous rescue systems. His contributions are particularly valuable for students and researchers interested in applying vision algorithms to real-world, high-stakes environments.

Research Focus

Key Achievements

1
H-Index
1
Papers
5
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Research on stereo vision matching algorithm for rescue robot
5 citations · 2017
📈 Most Prolific Year: 2017 (1 Papers)
🤝 Key Collaborators: 5

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago