The topics associated to the KMi publications listed in this page were automatically generated using the CSO Classifier, a solution developed by the SKM3 team in KMi. This technology has also been adopted by Springer Nature and is used routinely by them to generate automatically the metadata for all Computer Science conference proceedings they publish.

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Agnese Chiatti

Research Associate

Agnese is a post-doctoral researcher at the Knowledge Media Institute (KMi), the Open University, UK. Her research focuses on Computer Vision applications in Robotics, with a particular focus on Neuro-symbolic Learning methods. She is interested in how robots can autonomously build and maintain a visual model of the environment in which they are deployed. Agnese is also a Visiting Fellow at Politecnico di Milano (Italy), thanks to funding from the L'Oreal-UNESCO "For Women in Science"...

Keys: Robotics, Computer Vision, Semantic Mapping, Lifelong Machine Learning, Information Retrieval, Knowledge Management

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