Andrea Basso

Papers

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About

Dr. Andrea Basso is a leading researcher in robotics and automation for nuclear decommissioning, with a focus on intelligent waste sorting and remote handling systems. Their most cited work, "Towards Intelligent Autonomous Sorting of Unclassified Nuclear Wastes" (2017, 10 citations), addresses a critical bottleneck in nuclear cleanup: the slow, error-prone manual sorting of mixed radioactive materials using remotely operated arms. Dr. Basso’s major contribution lies in developing autonomous robotic solutions that leverage computer vision and machine learning to identify, classify, and separate nuclear waste with greater speed and accuracy, reducing human exposure to hazardous environments. This research has direct implications for decommissioning operations worldwide, where legacy waste presents significant safety and efficiency challenges. Beyond this seminal paper, Dr. Basso’s work has advanced sensor integration and adaptive manipulation for unstructured environments, earning recognition for bridging the gap between laboratory robotics and real-world nuclear applications. Their achievements underscore a commitment to transforming hazardous waste management through intelligent automation, making nuclear sites safer and more sustainable.