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About

Mohsen Ekramian is a control systems researcher whose work centers on teleoperation, rehabilitation robotics, and adaptive control for nonlinear systems. His research addresses some of the most persistent practical challenges in robotic systems — particularly the elimination of costly and cumbersome sensors while maintaining precise control performance. His most influential contribution, "Observer-based adaptive force–position control for nonlinear bilateral teleoperation with time delay" (2020), has garnered 30 citations and tackles the critical problem of maintaining stability and transparency in teleoperation systems subject to communication delays — a fundamental barrier in remote surgery and hazardous environment robotics. Complementing this, his 2018 work on adaptive mechanical impedance estimation for rehabilitation robots offers a sensor-reduced framework for quantitatively assessing human arm motor function, with direct implications for post-stroke and neurological rehabilitation. His earlier 2016 research on 4-channel bilateral teleoperation further demonstrates his commitment to sensorless adaptive control architectures. Across his publications, Ekramian consistently pushes toward practical, cost-effective implementations without sacrificing control fidelity — making his work particularly valuable for researchers and engineers working at the intersection of human-robot interaction, medical robotics, and adaptive nonlinear control.