Nurkhamdi Nurkhamdi
Papers
1
Total Citations
2
H-Index
1
About
Nurkhamdi Nurkhamdi is a researcher in robotics and mechanical systems, with a particular focus on the kinematics and control of parallel manipulators. His work centers on developing efficient analytical methods for solving complex inverse kinematics problems, a critical challenge in the precise motion control of robotic arms. His most cited paper, "Analytical Based Inverse Kinematics Method for 5-axis Delta Robot" (2018), introduces a novel approach that simplifies the computational demands of trajectory planning for high-speed, high-precision Delta robots. This contribution is valuable for applications in automated manufacturing, pick-and-place operations, and assembly lines where speed and accuracy are paramount. While his citation count is modest, his work represents a foundational step in advancing the practical implementation of parallel robots, offering a clear, mathematically rigorous alternative to numerical methods. Nurkhamdi’s research bridges the gap between theoretical kinematics and real-world robotic design, making him a notable contributor to the field of industrial automation and robotic system optimization.
Research Focus
Key Achievements
Top Papers
- 1Analytical Based Inverse Kinematics Method for 5-axis Delta Robot2 citations · 2018