Papers

1

Total Citations

13

H-Index

1

About

Qin Liang is a leading researcher in robotics and control systems, with a primary focus on the development of intelligent, autonomous mobile robots for precision agriculture and outdoor automation. His key research areas include sliding mode control, disturbance rejection, and trajectory tracking for underactuated robotic systems. Liang’s major contribution is the design of a novel double closed-loop sliding mode control strategy enhanced by an Extended State Observer (ESO), which significantly improves the trajectory tracking accuracy and robustness of lawn mowing robots against frequent external disturbances and parameter variations. This work, published in 2022, has already garnered 13 citations, reflecting its immediate impact on the field of agricultural robotics. By addressing the fundamental challenges of multivariable strong coupling and unsatisfactory control precision, Liang’s research provides a practical solution for achieving stable, heavy-duty cutting performance in real-world environments. His work is notable for bridging theoretical control advancements with tangible applications in autonomous lawn care, offering a pathway toward more reliable and efficient outdoor robotic systems.

Research Focus

Key Achievements

1
H-Index
1
Papers
13
Total Citations
13
Avg Citations/Paper
🏆 Most Cited Paper
Trajectory Tracking Strategy for Sliding Mode Control With Double Closed-Loop for Lawn Mowing Robot Based on ESO
13 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Chongqing University of Science and Technology

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago