Bao Yulong

About

Bao Yulong is a leading researcher in advanced robotics and nonlinear control systems, with a primary focus on trajectory tracking and precision manipulation for multi-degree-of-freedom robotic arms. His most influential work introduces a groundbreaking control scheme—Fractional-Order Terminal Sliding Mode Control with Sliding Perturbation Observer (FOTSMCSPO)—which addresses the complex trajectory tracking problem for seven-degree-of-freedom robot manipulators. This 2020 paper has garnered 96 citations, reflecting its significant impact on the field. By integrating fractional-order calculus with terminal sliding mode control, Bao’s method achieves faster convergence, higher accuracy, and robust disturbance rejection compared to conventional approaches. His earlier 2019 work on Sliding Mode Control with Sliding Perturbation Observer (SMCSPO) for a 7-axis robot arm laid the foundation for this innovation, earning 7 citations. Bao’s contributions are particularly valuable for industrial automation, surgical robotics, and autonomous systems where precise, reliable motion control is critical. His research continues to inspire new developments in fractional-order control theory and its practical applications in robotics.

Research Focus

Key Achievements

Top Papers

1. 1
   Trajectory Tracking Control Using Fractional-Order Terminal Sliding Mode Control With Sliding Perturbation Observer for a 7-DOF Robot Manipulator

   96 citations · 2020
2. 2
   Trajectory Tracking Control of a 7-Axis Robot Arm Using SMCSPO

   7 citations · 2019

Key Collaborators

Contact & Links