Mohd Dilshad Ansari
Papers
1
Total Citations
15
H-Index
1
About
Dr. Mohd Dilshad Ansari is a leading researcher in industrial robotics and process optimization, whose work bridges evolutionary computation and real-world manufacturing challenges. His most impactful contribution centers on the optimization of industrial process parameter control using improved genetic algorithms, as demonstrated in his highly cited 2022 study. In this work, Dr. Ansari introduced a novel approach that applies an enhanced evolutionary algorithm to optimize polishing parameters for industrial robots, employing cubic B-spline curve fitting to refine joint trajectory curves. This methodology has garnered 15 citations, reflecting its practical significance for improving precision and efficiency in automated manufacturing. His research addresses critical gaps in parameter control, offering scalable solutions for complex industrial environments. By integrating algorithmic innovation with tangible robotic applications, Dr. Ansari’s work has advanced the field of intelligent manufacturing, providing a framework that reduces operational costs while enhancing product quality. His contributions are particularly valuable for researchers and engineers seeking to implement adaptive, data-driven control systems in industrial settings, marking him as a notable figure in the ongoing evolution of smart factory technologies.
Research Focus
Key Achievements
Top Papers
- 1