Agnese Chiatti

PhD Research Student

Agnese is a PhD Student at the Knowledge Media Institute (KMi), supervised by Prof. Enrico Motta and Dr. Enrico Daga. Her research focuses on combining Knowledge technologies with Machine Learning to enhance the robots' ability to assist us with our 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. 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.

Keywords

Robotics, Computer Vision, Knowledge Engineering, Visual Intelligence, Cognitive Robotics


Publications

Chiatti, Agnese and Daga, Enrico(2022). Neuro-symbolic learning for dealing with sparsity in cultural heritage image archives: an empirical journey. In: Proceedings of the Workshop on Deep Learning for Knowledge Graphs (DL4KG), co-located with the 21st International Semantic Web Conference (ISWC), 23-24 Oct 2022, Virtual, CEUR, pp. 1–15.

Chiatti, Agnese, Bardaro, Gianluca, Motta, Enrico and Daga, Enrico(2022). A Spatial Reasoning Framework for Commonsense Reasoning in Visually Intelligent Agents. In: AIC 2022, 8th International Workshop on Artificial Intelligence and Cognition, 15-17 Jun 2022, Örebro, Sweden, CEUR.

Bardaro, Gianluca, Daga, Enrico, Carvalho, Jason, Chiatti, Agnese and Motta, Enrico(2022). Introducing a Smart City Component in a Robotic Competition: A Field Report. Frontiers in Robotics and AI, 9, article no. 728628.

Chiatti, Agnese, Motta, Enrico and Daga, Enrico (AAAI-MAKE 2022) (Martin, Andreas; Hinkelmann, Knut; Fill, Hans-Georg; Gerber, Aurona; Lenat, Doug; Stolle, Reinhard and van Harmelen, Frank eds.), 21-23 Mar 2022, Palo Alto, California, USA, CEUR.

Chiatti, Agnese, (2021). Towards Visually Intelligent Agents (VIA): A Hybrid Approach. In: The Semantic Web: ESWC 2021 Satellite Events (Verborgh, Ruben; Hogan, Aidan; Tiddi, Ilaria; Mayer, Simon; Tommasini, Riccardo; Dimou, Anastasia; d' Amato, Claudia; Bröring, Arne; Ongenae, Femke and Alam, Mehwish eds.), Lecture Notes in Computer Science, Springer, Cham, pp. 195–206.

Chiatti, Agnese, Motta, Enrico, Daga, Enrico and Bardaro, Gianluca(2021). Fit to Measure: Reasoning about Sizes for Robust Object Recognition. In: Proceedings of the AAAI2021 Spring Symposium on Combining Machine Learning and Knowledge Engineering (AAAI-MAKE 2021) (Martin, Andreas; Hinkelmann, Knut; Fill, Hans-Georg; Gerber, Aurona; Lenat, Doug; Stolle, Reinhard and van Harmelen, Frank eds.), 22-24 Mar 2021, International Virtual Event.

Chiatti, Agnese, Motta, Enrico and Daga, Enrico(2020). Towards a Framework for Visual Intelligence in Service Robotics:Epistemic Requirements and Gap Analysis. In: Proceedings of the 17th International Conference on Principles of Knowledge Representation and Reasoning (KR 2020), 12-18 Sep 2020.

Chiatti, Agnese, (2020). Robots with common sense: Improving sensemaking in service robotics. Postgraduate Research Poster Competition, The Open University.

Chiatti, Agnese, Bardaro, Gianluca, Bastianelli, Emanuele , Tiddi, Ilaria , Mitra, Prasenjit and Motta, Enrico(2020). Task-Agnostic Object Recognition for Mobile Robots through Few-Shot Image Matching. Electronics, 9(3), article no. 380.

Hoque, Md Reshad Ul, Bradley, Dash, Kwan, Chiman,Chiatti, Agnese, Li, Jiang and Wu, Jian ,(2019). Searching for Evidence of Scientific News in Scholarly Big Data. Proceedings of the 10th International Conference on Knowledge Capture - K-CAP '19 pp. 251–254.