Jiaxiang Qi

Wuhan University of Science and Technology

Papers

1

Total Citations

3

H-Index

1

About

Jiaxiang Qi is a researcher specializing in advanced robotics and intelligent control systems, with a particular focus on collaborative robot manipulation and adaptive feedback mechanisms. His work addresses critical challenges in industrial automation, where traditional controllers often fall short in handling complex, dynamic environments. Qi’s major contribution lies in the development of an adaptive PID feedback tracking controller for 6-DOF collaborative robots, a novel approach that integrates adaptive feedback control with classical PID methods to enhance precision, stability, and responsiveness in real-time operations. This innovation, detailed in his 2022 paper, has garnered attention for its potential to improve safety and efficiency in human-robot collaboration settings. While his most-cited work currently holds 3 citations, its practical implications for manufacturing and process control are significant, laying groundwork for more robust and flexible robotic systems. Qi’s research continues to push the boundaries of adaptive control theory, aiming to bridge the gap between theoretical advancements and industrial applications, making him a promising voice in the field of collaborative robotics.

Research Focus

Key Achievements

1
H-Index
1
Papers
3
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Adaptive PID feedback tracking control for 6-DOF collaborative robot
3 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: Wuhan University of Science and Technology

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago