Max Robotics — Global Service Robot Directory + US Certification

About

Ahmad Ghasemi is a robotics and control systems researcher whose work centers on visual servoing, robotic manipulation, and intelligent control strategies for industrial robots. His most significant contributions lie in the development of advanced image-based visual servoing (IBVS) frameworks, particularly switch-based and decoupled control architectures that separate rotational and translational camera motions to improve robustness, speed, and reliability in six-degree-of-freedom robotic systems. His most-cited work, "Adaptive Switch Image-based Visual Servoing for Industrial Robots" (2019, 31 citations), exemplifies his focus on making visual control systems more adaptive and practically deployable in manufacturing environments. Alongside this, his enhanced switch IBVS controller addressing feature loss scenarios (23 citations) and his trajectory-optimized visual servoing approach for robotic manipulators (15 citations) demonstrate a consistent drive to solve real-world challenges in robotic perception and control. Ghasemi has also extended his expertise to parallel robots, contributing dynamic model identification methods using optical CMM sensors and sliding mode control approaches for guaranteed stability. Collectively accumulating nearly 100 citations, his body of work has meaningfully advanced the integration of vision-guided control in both serial and parallel robotic systems, making him a notable contributor to modern industrial robotics research.