Max Robotics — Global Service Robot Directory + US Certification

About

Dr. Ahmed R. J. Almusawi is a pioneering researcher in robotics and advanced manufacturing, whose work bridges artificial intelligence, human-robot interaction, and additive layer manufacturing. His most influential contribution, the 2016 paper on a novel artificial neural network (ANN) approach for solving inverse kinematics of robotic arms (151 citations), revolutionized how robots calculate motion, enabling faster, more adaptive control for applications ranging from industrial automation to surgical robotics. This work underpins his subsequent studies on ANN-based kinematics for robotic surgery (8 citations) and dynamic simulation using Virtual Reality Models (6 citations), demonstrating his commitment to making robots more intuitive and precise. Dr. Almusawi also made significant strides in additive manufacturing, developing and controlling a tungsten inert gas arc-based shaped metal deposition process (12 citations), a technique that fabricates dense metal parts layer by layer—a key advancement for custom, on-demand production. His research on online teaching of robotic arms through force/torque sensing (12 citations) further showcases his focus on safe, collaborative human-robot systems. With a career defined by interdisciplinary innovation, Dr. Almusawi’s work has laid critical groundwork for smarter, more accessible robotics and manufacturing technologies.