Songyuan Tang

Texas A&M University

Papers

1

Total Citations

149

H-Index

1

About

Songyuan Tang is a leading researcher in robotics and nonlinear control systems, with a primary focus on the motion control of nonholonomic wheeled mobile robots. His most influential work, the 2016 paper "Two Time-Scale Tracking Control of Nonholonomic Wheeled Mobile Robots," has garnered 149 citations and introduces a groundbreaking control law that enhances transient performance while effectively repressing tracking errors. By employing a two time-scale filtering technique, Tang developed a fast variable to actively compensate for disturbances, significantly improving robot stability and precision in real-world environments. This contribution has had a substantial impact on the fields of autonomous navigation and robotic manipulation, offering practical solutions for industrial and service robots. Tang's research bridges theoretical control theory with applied robotics, making his work essential reading for students and engineers seeking robust, high-performance control strategies. His achievements underscore his role as a key innovator in advancing the reliability and responsiveness of mobile robotic systems.

Research Focus

Key Achievements

1
H-Index
1
Papers
149
Total Citations
149
Avg Citations/Paper
🏆 Most Cited Paper
Two Time-Scale Tracking Control of Nonholonomic Wheeled Mobile Robots
149 citations · 2016
📈 Most Prolific Year: 2016 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Texas A&M University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago