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About

Daniela Gigante is pioneering the fusion of robotics and ecology, with her research centered on robotic habitat monitoring and conservation assessment. Her major contributions lie in developing frameworks that leverage legged robotic systems—particularly the ANYmal C quadruped—to autonomously monitor terrestrial habitats, focusing on the EU Natura2000 network. Her 2023 paper, "Robotic Monitoring of Habitats: The Natural Intelligence Approach" (37 citations), introduces a paradigm where robots equipped with "Natural Intelligence" can navigate complex terrains to assess ecological conditions. Gigante has created labeled datasets for plant detection in Annex I habitats, such as the species-rich grassland habitat 6210* in Italy's central Apennines, enabling automated species identification and conservation status evaluation. Her work directly addresses the understudied challenge of robotic monitoring in ecology, bridging robotics and environmental science. With over 50 citations across her most-cited works, Gigante's research is foundational for computational conservation, offering scalable tools to assess habitat health and support EU biodiversity goals. Her achievements include pioneering the practical deployment of robots in sensitive ecosystems, setting a new standard for non-invasive, data-driven ecological monitoring.