Arif Nur Huda
Papers
1
Total Citations
2
H-Index
1
About
Arif Nur Huda is a researcher advancing the frontiers of industrial automation and robotics, with a core focus on the precise control systems that underpin Industry 4.0. His most cited work, "Integrated Robotic Arm Control: Inverse Kinematics, Trajectory Planning, and Performance Evaluation for Automated Welding" (2023), exemplifies his major contribution: developing integrated frameworks that bridge theoretical kinematics with practical, high-precision manufacturing tasks. By tackling the complex interplay between inverse kinematics and trajectory planning, Huda’s research directly addresses the challenge of enabling robotic manipulators to execute flawless, predetermined movements in automated welding—a critical process for modern manufacturing. While his citation count is currently modest (2 citations for this key paper), the work’s recent publication and its direct relevance to the booming field of smart factories signal its growing impact. Huda’s achievements lie in providing a systematic performance evaluation methodology that can be adapted to various industrial robots, offering engineers a blueprint for optimizing speed, accuracy, and repeatability. For students and researchers, his work serves as a practical gateway into the real-world application of robotics control theory, demonstrating how foundational algorithms translate into tangible improvements on the factory floor.
Research Focus
Key Achievements
Top Papers
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