Papers

2

Total Citations

12

H-Index

2

About

Xinqiang Ma is a leading researcher in intelligent manufacturing and robotic automation, with a primary focus on welding process sensing and control. His most impactful work, "Welding Seam Detection and Tracking Based on Laser Vision for Robotic Arc Welding" (2020, 10 citations), addresses a critical challenge in automated production: real-time, precise seam tracking. By integrating laser vision systems with robotic control, Ma’s research enables robots to autonomously detect and follow complex weld paths, significantly enhancing the flexibility and reliability of robotic welding in industrial settings. This contribution is pivotal for advancing smart factories and reducing human intervention in hazardous environments. Additionally, Ma has explored the intersection of robotics and cloud computing, as seen in his 2016 paper on mobile cloud robotics, which investigates how cloud-based architectures can offload computational tasks from mobile robots, enabling more sophisticated, scalable automation. His work bridges practical industrial applications with emerging cloud technologies, positioning him as a key figure in the evolution of autonomous manufacturing systems. With a career dedicated to solving real-world production challenges, Ma’s research continues to influence both academic robotics and industrial automation.

Research Focus

Key Achievements

2
H-Index
2
Papers
12
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Welding Seam Detection and Tracking Based on Laser Vision for Robotic Arc Welding
10 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Shandong Academy of Sciences, Chongqing University of Arts and Sciences

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago