Papers
1
Total Citations
21
H-Index
1
About
Li Chang is a roboticist whose work centers on the kinematic analysis and control of serial manipulators, with a particular focus on inverse kinematics—a fundamental challenge in robotics. In his most-cited work, "Geometric approach for inverse kinematics analysis of 6-Dof serial robot" (2015, 21 citations), Chang tackles the complex inverse kinematics problem for a six-degree-of-freedom Motoman robot. By employing the Denavit-Hartenberg (D-H) convention to derive forward kinematics, he introduces a geometric approach that yields an efficient, intuitive inverse solution—bypassing the computational burden of purely numerical methods. This work is notable for its practical simulation validation, demonstrating how geometric reasoning can simplify real-time robot control in high-speed, wide-workspace applications. While his citation count reflects a focused, early-career impact, Chang’s contribution is significant for bridging theoretical kinematics with applied robotics, offering a clear methodology for engineers designing industrial manipulators. His research is especially valuable for students and practitioners seeking accessible, deterministic solutions to inverse kinematics—a cornerstone of robotic motion planning.
Research Focus
Key Achievements
Top Papers
- 1Geometric approach for inverse kinematics analysis of 6-Dof serial robot21 citations · 2015