Guihong Zhang
Papers
1
Total Citations
4
H-Index
1
About
Guihong Zhang has made significant contributions to the field of robotics, with a primary focus on the kinematics and motion planning of industrial manipulators. Their most cited work, "Simulation Research on Motion Trajectory of PUMA 560 Manipulator Based on MATLAB" (2019, 4 citations), provides a rigorous analysis of the PUMA 560—a classic six-degree-of-freedom robotic arm. Using the standard Denavit-Hartenberg (D-H) method, Zhang systematically addresses forward kinematics, inverse kinematics, and trajectory planning, offering a clear mathematical framework for simulating manipulator motion in MATLAB. This research serves as a foundational resource for students and engineers seeking to understand robotic arm control and simulation, bridging theoretical kinematics with practical implementation. While Zhang’s citation count reflects a focused, early-stage impact, their work demonstrates a commitment to advancing accessible, simulation-based tools for robotics education and research. By demystifying complex kinematic transformations, Zhang has contributed to the broader goal of making robotic manipulation more intuitive and programmable, supporting advancements in automation and industrial robotics.
Research Focus
Key Achievements
Top Papers
- 1