Dianyong Yu
Papers
2
Total Citations
5
H-Index
2
About
Dianyong Yu is a robotics researcher whose work focuses on solving fundamental challenges in robot motion control, particularly inverse kinematics and trajectory tracking. His most cited paper, "Research on singular robustness algorithm of robot inverse kinematics based on dynamic damping coefficient" (2017, 3 citations), addresses the critical singularity problem in Jacobian matrices—a common issue that causes robotic arms to lose degrees of freedom during movement. Yu proposed an innovative algorithm that enhances the damped least-square (DLS) method by introducing dynamic damping coefficients, computed through singular value decomposition (SVD), to ensure smooth and stable motion even near singular configurations. This work contributes to making industrial and service robots more reliable in precision tasks. Additionally, his earlier study on "A Nonlinear Adaptive Variable Structure Trajectory Tracking Algorithm for Mobile Robots" (2008, 2 citations) explores robust control strategies for autonomous navigation. While his citation counts are modest, Yu’s research demonstrates a consistent focus on improving robotic system robustness and adaptability—key areas for advancing real-world automation and intelligent machine operation.
Research Focus
Key Achievements
Top Papers
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- 2