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About

Mohammad Eghtesad is a prominent robotics and control systems researcher whose work spans parallel robot manipulators, cable robots, cooperative robotic systems, and autonomous vehicles. Based at Shiraz University, he has made significant contributions to some of the most mathematically challenging problems in robotics engineering. Eghtesad is perhaps best recognized for his innovative application of neural networks to solve forward kinematics problems in complex robotic platforms — work that has garnered over 120 citations across studies of HEXA parallel robots and cable robots. These contributions are particularly impactful because forward kinematics in parallel robots are notoriously intractable analytically, and his neural network approaches offered elegant, convergence-reliable alternatives to conventional numerical methods. His research on the Stewart-Gough platform's inverse dynamics control (43 citations) and two-time scale control for cooperating robot manipulators handling flexible payloads (66 citations) demonstrate a sophisticated command of both dynamic modeling and advanced control theory. His workspace analysis of redundant cable robots further broadened practical design possibilities in that emerging field. Beyond manipulation robotics, Eghtesad led the construction of "Ariana-I," a fully operational underwater ROV developed at Shiraz University's Robotics Lab, showcasing his commitment to translating theoretical research into real-world systems. With cumulative citations exceeding 340, his body of work remains a valuable reference for researchers navigating the complexities of advanced robotic systems.