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About

Abbas Bataleblu is a leading researcher in the field of medical robotics and parallel manipulator dynamics, with a particular focus on high-precision applications such as vitrectomy eye surgery. His work centers on developing robust control strategies and comprehensive dynamic models for complex robotic systems, addressing the critical challenges of uncertainty and precision in surgical environments. Bataleblu’s most impactful contribution is the development of a robust H∞-based cascade control architecture for the ARAS-Diamond robot, a specialized system for vitrectomy, which effectively eliminates inherent system uncertainties to ensure safe and accurate performance during delicate eye procedures. This work, published in 2020, has garnered 12 citations, reflecting its significance in the field. He has also made substantial contributions to the modeling of translational and spherical parallel robots, deriving explicit dynamic formulations and regressor-based models essential for model-based control and calibration. His 2022 paper on the full dynamic model of a 3-UPU translational parallel manipulator has already accumulated 10 citations. Through his research, Bataleblu is advancing the frontier of robotic-assisted surgery, enabling safer, more reliable, and more precise automated interventions.