Sahar Etedali

Papers

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About

Sahar Etedali is a researcher specializing in robotics and control systems, with a focus on force estimation, disturbance rejection, and adaptive control for teleoperation and robotic manipulation. Her work addresses critical challenges in ensuring precise and safe human-robot interaction, particularly when systems are subjected to external disturbances. Her most-cited paper, "Adaptive control of teleoperation system based on nonlinear disturbance observer" (2019), has garnered 36 citations, highlighting its significance in improving bilateral teleoperation performance through adaptive disturbance compensation. In her earlier work, "A robust force observer for robot manipulators subjected to external disturbance" (2015), she introduced a novel neural network-based nonlinear disturbance observer that isolates external disturbances from force estimation—a key advancement over existing methods that often struggle with accuracy in real-world conditions. This contribution has laid important groundwork for more reliable force sensing in robotic systems. Etedali’s research is highly relevant for applications in industrial automation, surgical robotics, and assistive technologies, where robust force feedback is essential. Her work continues to influence the development of intelligent, disturbance-resilient robotic systems.