Papers
6
Total Citations
149
H-Index
6
About
Mazda Moattari is a control systems and robotics researcher whose work focuses primarily on advanced control strategies for flexible-joint and flexible-link robot manipulators, with particular emphasis on handling real-world uncertainties and system faults. His most significant contributions lie in the development of sliding mode control frameworks — including voltage-based and adaptive variants — designed to robustly manage structured and unstructured uncertainties in n-joint robotic systems, work that has collectively attracted nearly 100 citations since 2019. Moattari has further advanced the field by integrating fuzzy logic into sliding mode architectures to eliminate chattering, a persistent challenge in practical robotic control. His research extends into teleoperation systems, where he has designed fault-tolerant controllers capable of compensating for actuator faults, disturbances, and time-varying communication delays in flexible-link configurations — work that reflects both theoretical depth and applied relevance. Earlier in his career, he demonstrated strong hardware intuition through the physical design and implementation of a friction-driven flexible snake robot. Taken together, Moattari's body of work represents a meaningful and growing contribution to intelligent, uncertainty-resilient control of complex robotic systems, making him a valuable reference for students and researchers working at the intersection of robust control theory and robotics engineering.
Research Focus
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Top Papers
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- 6Flexible snake robot: Design and implementation6 citations · 2013