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, Motta, Enrico, Daga, Enrico and Bardaro, Gianluca(2020). 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. 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.

Bardaro, Gianluca, Semprebon, Andrea,Chiatti, Agnese and Matteucci, Matteo(2019). From Models to Software Through Automatic Transformations: An AADL to ROS End-to-End Toolchain. In: Third IEEE International Conference on Robotic Computing (IRC), 25-27 Feb 2019, Naples, Italy.

Chiatti, Agnese, Bardaro, Gianluca, Bastianelli, Emanuele , Tiddi, Ilaria , Mitra, Prasenjit and Motta, Enrico(2019). Exploring Task-agnostic, ShapeNet-based Object Recognition for Mobile Robots. In: Proceedings of the Workshops of the EDBT/ICDT 2019 Joint Conference.