Saeed Zarei

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About

Saeed Zarei’s research focuses on the control, fault detection, and navigation of nonlinear, non-holonomic robotic systems, with a particular emphasis on spherical rolling robots. His major contributions include developing a sliding-mode-based fault detection algorithm that addresses sensor and actuator faults in these unique, hard-to-control mechanisms—a critical step toward reliable autonomous operation. While his most cited work, “Fault Detection Algorithm based on Sliding-mode method for spherical Rolling Robots” (2017), has garnered 4 citations, it represents foundational work in a niche area where robust control is essential. Zarei’s research tackles the inherent instability and fault vulnerability of spherical robots, offering practical solutions that enhance system safety and performance. His work is notable for bridging theoretical control methods with real-world robotic challenges, making it valuable for researchers in robotics, nonlinear control, and fault-tolerant systems. As the field of spherical robotics grows, Zarei’s contributions provide a basis for more resilient and intelligent autonomous vehicles.