Emmanuel Blazquez

European Space Research and Technology Centre

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About

Emmanuel Blazquez is a leading researcher at the frontier of spacecraft autonomy, where he pioneers the integration of neuromorphic vision and deep learning for next-generation space missions. His work centers on two transformative areas: end-to-end neural guidance and control, and event-based vision for space navigation. In his highly cited 2024 review, "Optimality principles in spacecraft neural guidance and control" (21 citations), Blazquez systematically demonstrates how neural architectures can learn optimality principles for complex maneuvers—including interplanetary transfers, planetary landings, and close-proximity operations—marking a paradigm shift from traditional model-based approaches. Complementing this, his 2023 work on generating synthetic event-based datasets addresses the critical challenge of training neuromorphic vision systems for space applications, leveraging event-cameras' low power consumption, high temporal precision, and high dynamic range. By bridging the gap between bio-inspired sensing and autonomous decision-making, Blazquez is laying the groundwork for spacecraft that can navigate and land with unprecedented efficiency and robustness. His research is particularly vital for resource-constrained missions, where every watt and millisecond counts.