Mu Hairong
Papers
1
Total Citations
10
H-Index
1
About
Mu Hairong is a researcher specializing in industrial robotics and automation, with a particular focus on trajectory planning and kinematic simulation. Their major contribution lies in bridging theoretical robotics with practical simulation environments, as demonstrated in their most-cited work, "Trajectory Planning and Simulation of Industrial Robot Based on MATLAB and RobotStudio" (2021, 10 citations). This study, centered on the IRB-1200 robot, systematically addresses forward and inverse kinematics solutions within MATLAB's simulation framework, validating the accuracy of these calculations by determining the robot's final position. By integrating MATLAB's computational power with RobotStudio's industrial simulation capabilities, Mu Hairong provides a robust methodology for verifying kinematic correctness before real-world deployment, reducing costly trial-and-error in manufacturing settings. Though early in their citation impact, this work showcases a practical, hands-on approach to robotics education and industrial application. Mu Hairong’s research is particularly valuable for students and engineers seeking clear, replicable methods for robot trajectory planning, making complex kinematic concepts accessible through simulation. Their work underscores the importance of simulation-based validation in modern robotics, offering a foundation for future advancements in automated manufacturing and robotic system optimization.
Research Focus
Key Achievements
Top Papers
- 1