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About

Andrea De Maio is a leading researcher in space robotics, with a primary focus on multi-sensor data fusion for autonomous space vehicles. His work is foundational to the development of intelligent systems for orbital servicing satellites and planetary exploration rovers, which require comprehensive environmental awareness to make critical decisions. De Maio’s major contribution is the creation of the **InFuse** framework, a modular and portable data fusion system funded by the European Commission’s Horizon program. This framework addresses a critical gap in the space robotics software community by providing a comprehensive solution for combining data from diverse sensors into symbolic representations like environment maps, object models, and position estimates. Through his publications, which have garnered several citations, De Maio has established a standard for how autonomous spacecraft can process and contextualize sensory information, directly enabling more robust and reliable decision-making in space. His work is essential reading for anyone interested in the intersection of robotics, machine learning, and autonomous space exploration.