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About

Ioannis Tsitsimpelis is a researcher specializing in nuclear robotics, radiation mapping, and autonomous systems for hazardous environments. His work sits at the critical intersection of robotics, radiation detection, and nuclear safety, addressing one of the most pressing challenges in the nuclear industry: reducing human exposure to ionizing radiation during inspection and characterization tasks. His most influential contribution, a comprehensive review of ground-based robotic systems for nuclear environment characterization (2018, 228 citations), has become an essential reference for researchers and engineers entering this field. Building on this foundation, Tsitsimpelis has made significant advances in autonomous radiation mapping, notably demonstrating the use of Gaussian process regression to enable mobile robots to intelligently interpolate radiation observations across nuclear facilities (2021, 78 citations). His research further extends to real-time radiation avoidance for mobile robots using layered costmaps, as well as the development of robot-compatible gamma-ray spectroscopy and imaging instruments capable of operating within active nuclear reactors. More recently, he has refined techniques for precise radionuclide localization using collimated scintillation detectors. Collectively, Tsitsimpelis's work is shaping how the nuclear industry deploys autonomous systems to improve safety, operational efficiency, and worker protection globally.