Welcome! My name is Agnese and I am a PhD Student at the Knowledge Media Institute (the Open University, UK), working under the supervision of Prof. Enrico Motta and Dr. Enrico Daga. I have received my MS in Information Sciences and Technology from the Pennsylvania State University.
I am interested in enhancing the robots' ability to assist humans with their daily tasks, especially with respect to how robots can visually learn how to make sense of their environment through experience.
Key areas: Service Robotics, Knowledge Management, Computer Vision, (Lifelong) Machine Learning, Semantic Mapping, Information Retrieval.

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Research

From June 2018 until September 2019, I have worked in KMi as a Research Assistant, focusing on object detection and recognition from Robot-collected RGB and depth data. I was also part of the organising team for the 2019 SciRoc Challenge, the 1st international robotic competition to be held in a Smart City scenario.

While studying at Penn State, I have worked with Dr. Lee Giles , Dr. Prasenjit Mitra (IST) and Dr. Nilam Ram (Human Development and Family Studies) on the Screenomics project, a collaboration with the Department of Communication at Stanford University.

Publications

Journal Papers

Agnese Chiatti, Gianluca Bardaro, Emanuele Bastianelli, Ilaria Tiddi, Prasenjit Mitra and Enrico Motta. Task-agnostic Object Recognition for Mobile Robots through Few-shot Image Matching. In review .

Byron Reeves, Nilam Ram, Thomas N. Robinson, James J. Cummings, Lee Giles, Jennifer Pan, Agnese Chiatti, et al. Screenomics: A Framework to Capture and Analyze Personal Life Experiences and the Ways that Technology Shapes Them. Accepted for publication in Human Computer Interaction.

Conference and Workshop Papers

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

Agnese Chiatti, Gianluca Bardaro, Emanuele Bastianelli, Ilaria Tiddi, Prasenjit Mitra and Enrico Motta. Exploring Task-agnostic, ShapeNet-based Object Recognition for Mobile Robots. In Proceedings of the 3rd International workshop on Data Analytics solutions for Real-LIfe APplications (DARLI-AP 2019). CEUR.

Gianluca Bardaro, Andrea Semprebon, Agnese Chiatti and Matteo Matteucci. From Models To Software Through Automatic Transformations: An AADL To ROS End-to-End Toolchain. To appear in Proceedings of the Third International Workshop on New Frontiers in Computational Robotics (NFCR '19). IEEE.

Agnese Chiatti, Mu Jung Cho, Anupriya Gagneja, Xiao Yang, Miriam Brinberg, Katie Roehrick, Sagnik Ray Choudhury, Nilam Ram, Byron Reeves, C. Lee Giles. Text Extraction and Retrieval from Smartphone Screenshots: Building a Repository for Life in Media. In Proceedings of the 33rd ACM/SIGAPP Symposium on Applied Computing (SAC 2018). Pau, France. April 9-13, 2018.

Agnese Chiatti, Xiao Yang, Miriam Brinberg, Mu Jung Cho, Anupriya Gagneja, Nilam Ram, Byron Reeves, C. Lee Giles. Text Extraction from Smartphone Screenshots to Archive in situ Media Behavior. In Proceedings of the 9th International Conference on Knowledge Capture (K-CAP 2017). Austin, TX, USA. December 4-6, 2017.

Jian Wu, Sagnik Ray Choudhury, Agnese Chiatti, Chen Liang, C. Lee Giles. HESDK: A Hybrid Approach to Extracting Scientific Domain Knowledge Entities. In Proceedings of the ACM/IEEE Joint Conference on Digital Libraries (JCDL 2017). 241- 244. Toronto, ON, Canada, June 19-23, 2017.

Agnese Chiatti, Zlatan Dragisic, Tania Cerquitelli and Patrick Lambrix. Reducing the search space in ontology alignment using clustering techniques and topic identification. In Proceedings of the 8th International Conference on Knowledge Capture (K-CAP 2015). Palisades, NY, USA, October 7-10, 2015.

Pre-prints

Agnese Chiatti, Gianluca Bardaro, Enrico Daga and Enrico Motta. Improving Object Recognition for Mobile Robots by Leveraging Common-sense Knowledge Bases. In review.

Agnese Chiatti, Dolzodmaa Davaasuren, Nilam Ram, Prasenjit Mitra, Byron Reeves and Thomas Robinson. Guess What's on my Screen? Clustering Smartphone Screenshots with Active Learning. ArXiv preprint.

CV

My complete CV (as of October 2019) can be found here.