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.
Chiatti, A., Bardaro, G., Motta, E. and Daga, E. (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. https://oro.open.ac.uk/83621/.
Bardaro, G., Daga, E., Carvalho, J., Chiatti, A. and Motta, E. (2022). Introducing a Smart City Component in a Robotic Competition: A Field Report. Frontiers in Robotics and AI, 9 https://oro.open.ac.uk/82166/.
Bardaro, G., Antonini, A. and Motta, E. (2022). Robots for Elderly Care in the Home: A Landscape Analysis and Co-Design Toolkit. International Journal of Social Robotics, 14 pp. 657–681. https://oro.open.ac.uk/78674/.
Chiatti, A., Motta, E., Daga, E. and Bardaro, G. (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), 22-24 Mar 2021, International Virtual Event. https://oro.open.ac.uk/75809/.
Chiatti, A., Bardaro, G., Bastianelli, E., Tiddi, I., Mitra, P. and Motta, E. (2020). Task-Agnostic Object Recognition for Mobile Robots through Few-Shot Image Matching. Electronics, 9(3), https://oro.open.ac.uk/69496/.
Bardaro, G., Semprebon, A., Chiatti, A. and Matteucci, M. (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. https://oro.open.ac.uk/61402/.
Chiatti, A., Bardaro, G., Bastianelli, E., Tiddi, I., Mitra, P. and Motta, E. (2019). Exploring Task-agnostic, ShapeNet-based Object Recognition for Mobile Robots. In: EDBT/ICDT 2019 Joint Conference, 26-29 Mar 2019, Lisbon, Portugal. https://oro.open.ac.uk/59508/.
