Yanlong Geng
Papers
1
Total Citations
2
H-Index
1
About
Yanlong Geng is a researcher specializing in robotics, kinematics, and industrial automation, with a particular focus on high-speed manipulation systems. His most cited work, "The simulation study of optimization of pick-and-place route for delta robot based on lame curves" (2018), addresses the critical challenge of optimizing trajectory planning for Delta robots used in high-speed, light-load pick-and-place operations. In this study, Geng designed a three-degree-of-freedom Delta manipulator, analyzed its mechanical structure, and established a kinematic model to improve route efficiency using Lame curves. Although his citation count is modest, his contributions are significant for advancing automation in manufacturing, where speed and precision are paramount. Geng’s work demonstrates a practical engineering approach to solving real-world industrial problems, bridging theoretical kinematics with applied robotics. His research is particularly valuable for students and engineers interested in robotic arm design, motion optimization, and the integration of mathematical curves into control strategies. Geng’s focus on Delta robots—a key technology in packaging, assembly, and electronics manufacturing—positions him as a contributor to the ongoing evolution of industrial automation.
Research Focus
Key Achievements
Top Papers
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