Yin Song
Papers
1
Total Citations
11
H-Index
1
About
Dr. Yin Song is a leading researcher in advanced robotics control, specializing in trajectory tracking and disturbance rejection for multi-joint robotic manipulators. Their most influential work, "Adaptive Non-Singular Terminal Sliding Mode Trajectory Tracking Control of Robotic Manipulators Based on Disturbance Observer Under Unknown Time-Varying Disturbance" (2025, 11 citations), tackles critical challenges in real-world robotic applications—specifically, the instability caused by uncertain internal dynamics and severe external unknown time-varying disturbances. Dr. Song’s major contribution lies in developing a novel adaptive non-singular terminal sliding mode control framework integrated with a disturbance observer, enabling each joint to track desired trajectories with exceptional stability and accuracy. This approach overcomes the singularity problem common in conventional sliding mode methods, offering robust performance even under unpredictable environmental forces. With a growing citation impact, Dr. Song’s work is pivotal for advancing autonomous robotic systems in manufacturing, surgery, and exploration. Their research not only enhances theoretical understanding of nonlinear control but also provides practical solutions for high-precision robotic tasks, marking them as a rising authority in the field of intelligent control systems.
Research Focus
Key Achievements
Top Papers
- 1