Agnese Chiatti is a Research Fellow at the Artificial Intelligence and Robotics Lab (AIRLab) of the Department of Electronics, Information and Bioengineering (DEIB). She has obtained a PhD in Artificial Intelligence from the Knowledge Media Institute (the Open University, UK). Agnese's PhD research has focused on combining Deep Learning with symbolic inference to enhance the Visual Intelligence of service robots in the context of Health and Safety monitoring applications.  Agnese holds a M.S. in Information Sciences and Technology (IST) from the Pennsylvania State University and a M.S. in Industrial Engineering and Management from Politecnico di Torino. She joined Politecnico di Milano after winning the L'Oréal-UNESCO "For Women in Science" Italy fellowship in 2022. Her research interests revolve around Knowledge Representation and Reasoning for Service and Field Robotics, semantic mapping, Computer Vision, and Neuro-symbolic AI (mixing data-driven and knowledge-driven AI methods).