Max Robotics — Global Service Robot Directory + US Certification

About

Ali Ghasemi is a leading researcher in the field of cable-driven parallel robotics, with a career dedicated to solving the fundamental challenges of these unique systems. His primary research areas include forward and inverse kinematics, workspace analysis, and constrained control of cable robots. Ghasemi’s major contributions lie in developing analytical methods for understanding and optimizing the reachable workspace of both planar and spatial cable robots, particularly those with redundant cables. His 2010 paper on a neural network solution for the forward kinematics problem remains his most influential work, with 59 citations. He pioneered approaches using Bland’s pivot rule and linear algebra to map all possible platform poses while considering critical factors like cable tension limits and interference. In control theory, Ghasemi introduced innovative strategies combining input-output linearization with linear model predictive control (LMPC) to address the unique challenge of maintaining positive cable tension during operation. His work on interference-free workspace analysis, accounting for both cable-cable and cable-platform collisions, has been essential for practical robot design. Through these contributions, Ghasemi has established himself as a key figure in advancing the theoretical foundations and practical implementation of cable-driven robotic systems.