M. Ahmadieh Khanesar
Papers
1
Total Citations
3
H-Index
1
About
M. Ahmadieh Khanesar is a researcher specializing in intelligent robotics, optimization algorithms, and advanced control systems. His work focuses on enhancing industrial automation through bio-inspired computational methods, particularly the application of swarm intelligence to robotic calibration and precision control. One of his notable contributions includes the development of an intelligent static calibration methodology for industrial robots using the Artificial Bee Colony (ABC) algorithm, which improves positioning accuracy by optimizing kinematic parameters without the need for expensive external measurement systems. This work, published in 2023, has already garnered attention with 3 citations, reflecting its relevance to the robotics and manufacturing communities. Khanesar’s research bridges the gap between theoretical optimization techniques and practical industrial applications, offering cost-effective solutions for real-world robotic systems. His broader contributions to intelligent control and metaheuristic algorithms continue to influence fields such as automation, mechatronics, and adaptive system design, making his work valuable for students and researchers seeking to integrate nature-inspired algorithms into engineering challenges.
Research Focus
Key Achievements
Top Papers
- 1