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About

Mehran Attar is a robotics researcher whose work focuses on the estimation and control of dynamic systems, with a particular emphasis on quadruped robots and manipulators. His key contributions lie in the development of advanced observer-based techniques for sensor-less force estimation and disturbance rejection. Attar’s most cited work, “Estimation of external forces acting on the legs of a quadruped robot using two nonlinear disturbance observers” (2016, 18 citations), introduces a novel method to estimate environmental forces on robotic legs without direct force sensors, using only joint angle and velocity data. This approach significantly reduces hardware complexity while maintaining robust performance. He further advanced the field with his work on time-varying extended state observers, as seen in his 2018 paper (9 citations), which provides a rigorous framework for estimating unknown dynamics in nonlinear systems using spectral Lyapunov functions. Attar also explored sensor fusion techniques to stabilize quadruped robot posture against disturbances, integrating IMU and magnetometer data. His research is highly relevant for students and engineers working on legged locomotion, robust control, and state estimation, offering practical solutions for real-world robotic systems operating in uncertain environments.