Ali Asghar Bataleblu

Papers

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About

Ali Asghar Bataleblu is a researcher specializing in haptic systems, surgical robotics, and dynamic calibration. His work centers on advancing medical training technologies, particularly through the development and control of haptic devices for delicate procedures. His most notable contribution is the creation of ARASH:ASiST, a 3-degree-of-freedom haptic system designed for intraocular surgery training, which addresses the critical need for realistic, hands-on practice in ophthalmology. In his highly cited 2022 paper, "On The Dynamic Calibration and Trajectory Control of ARASH:ASiST," Bataleblu introduced a linear regression approach to dynamic parameter calibration, enabling precise trajectory control and enhancing the fidelity of surgical simulations. This work has garnered 3 citations, reflecting its emerging impact in the field of medical robotics. By bridging dynamic modeling with practical haptic feedback, Bataleblu’s research contributes to safer, more effective training tools for surgeons, potentially reducing errors in real-world eye surgeries. His achievements underscore a commitment to improving healthcare through innovative engineering solutions.