Luigi Pangione

Papers

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About

Luigi Pangione is a leading researcher in robotics for extreme environments, with a primary focus on advancing automation for the nuclear industry. His most cited work, "Robot-Assisted Glovebox Teleoperation for Nuclear Industry" (2021, 47 citations), addresses one of the field’s most pressing challenges: enabling precise remote manipulation within hazardous, radiation-sealed gloveboxes. By developing teleoperation systems that bridge human skill and robotic endurance, Pangione has directly contributed to reducing human exposure to life-threatening conditions while maintaining operational integrity. His research also extends into intelligent fault detection, as demonstrated in "Variational AutoEncoder to Identify Anomalous Data in Robots" (2021, 3 citations). This work tackles the critical problem of identifying early-stage failures in robots deployed in environments where exhaustive fault testing is impossible. By leveraging variational autoencoders to flag anomalous data as a surrogate for unknown faults, Pangione provides a scalable, data-driven approach to improving robotic reliability. His contributions sit at the intersection of teleoperation, anomaly detection, and nuclear safety, offering practical solutions that push the boundaries of what autonomous systems can achieve in the world’s most unforgiving settings.