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Agnese ChiattiMember status icon

PhD Research Student
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Agnese is a PhD Student at the Knowledge Media Institute (KMi), the Open University, UK. Her research focuses on combining Knowledge technologies with Machine Learning to enhance the robots' ability to assist humans on their daily tasks. Specifically, she is interested in how robots can visually learn how to build a model of their environment and maintain it over time. Recently, she was part of the organising team of the 1st International Robotic competition to be held in a shopping mall (the 2019 SciRoc Challenge). Agnese received her M.S. in Information Sciences and Technology from the Pennsylvania State University.

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

Team: Gianluca Bardaro, Jason Carvalho, Enrico Daga, Enrico Motta

News

11 Jul 2022


13 Jun 2022


08 Jun 2022


27 May 2022


24 Mar 2022

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Publications

Publications | Visit External Site for Details Publications | Visit External Site for Details  

Chiatti, A., Bardaro, G., Motta, E. and Daga, E. (2022) A Spatial Reasoning Framework for Commonsense Reasoning in Visually Intelligent Agents, Proceedings of the 8th International Workshop on Artificial Intelligence and Cognition (AIC 2022), Ɩrebro, Sweden

Publications | Visit External Site for Details  

Chiatti, A., Motta, E. and Daga, E. (2022) Robots with Commonsense: Improving Object Recognition through Size and Spatial Awareness, Workshop: the 2022 AAAI Spring Symposium on Machine Learning and Knowledge Engineering for Hybrid Intelligence (AAAI-MAKE 2022), CEUR

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Bardaro, G., Daga, E., Carvalho, J., Chiatti, A. and Motta, E. (2022) Introducing a Smart City Component in a Robotic Competition: A Field Report, 9, Frontiers Media S.A.

Publications | Visit External Site for Details  

Chiatti, A. (2021) Towards Visually Intelligent Agents (VIA): A Hybrid Approach, 18th Extended Semantic Web Conference, ESWC 2021, Virtual, Online

Publications | Visit External Site for Details  

Chiatti, A., Motta, E., Daga, E. and Bardaro, G. (2021) Fit to Measure: Reasoning about Sizes for Robust Object Recognition, Proceedings of the AAAI2021 Spring Symposium on Combining Machine Learning and Knowledge Engineering (AAAI-MAKE 2021), International Virtual Event

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