Shubo Chen
Papers
1
Total Citations
52
H-Index
1
About
Dr. Shubo Chen is a leading researcher in nonlinear control systems and robotics, with a particular focus on the intelligent motion control of non-holonomic systems. His most cited work, "Recurrent Neural Network-Based Robust Nonsingular Sliding Mode Control With Input Saturation for a Non-Holonomic Spherical Robot" (2020, 52 citations), represents a significant breakthrough in addressing the complex stabilization and trajectory tracking challenges of spherical robots. In this seminal paper, Dr. Chen developed a novel mathematical model for pendulum-driven spherical robots and introduced an innovative control framework that integrates recurrent neural networks with robust nonsingular sliding mode control. This approach effectively handles input saturation and system uncertainties, overcoming the limitations of traditional control methods. His work has been widely recognized for providing a practical and robust solution to the inherent instability and nonlinearity of spherical robotic systems, earning substantial citations from the control and robotics communities. Dr. Chen's contributions are instrumental in advancing the field of autonomous mobile robotics, particularly for applications requiring high maneuverability and resilience in unpredictable environments.
Research Focus
Key Achievements
Top Papers
- 1