Tien-Ngo Manh
Papers
1
Total Citations
4
H-Index
1
About
Dr. Tien-Ngo Manh is a robotics and control systems researcher whose work focuses on intelligent trajectory tracking for autonomous mobile platforms. His most notable contribution is the development of a direct Adaptive Neural Network Dynamic Surface Control (DSCNN) algorithm, specifically applied to four-wheel omnidirectional holonomic robots. This work, published in 2019, addresses the challenge of precise trajectory tracking by integrating neural network adaptability with dynamic surface control, ensuring system stability through rigorous Lyapunov-based proofs. While his highly specialized research has garnered early citations, it lays critical groundwork for advancing autonomous navigation in constrained environments. Dr. Manh’s approach stands out for its theoretical depth, combining adaptive learning with robust control to handle the complex dynamics of omnidirectional motion. His contributions are particularly relevant for applications in warehouse automation, service robotics, and any domain requiring agile, holonomic movement. As the field of mobile robotics continues to expand, Dr. Manh’s work offers a promising foundation for future innovations in adaptive, stable, and precise robot control.
Research Focus
Key Achievements
Top Papers
- 1