Currently browsing: Items authored or edited by Emanuele Bastianelli

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.

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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.

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Tiddi, Ilaria; Bastianelli, Emanuele; Daga, Enrico; d'Aquin, Mathieu and Motta, Enrico (2020). Robot–City Interaction: Mapping the Research Landscape—A Survey of the Interactions Between Robots and Modern Cities. International Journal of Social Robotics pp. 299–324.

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Third, Allan; Tiddi, Ilaria; Bastianelli, Emanuele; Valentine, Chris and Domingue, John (2017). Towards the Temporal Streaming of Graph Data on Distributed Ledgers. Lecture Notes in Computer Science, 10577 pp. 327–332.

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Tiddi, Ilaria; Bastianelli, Emanuele; Bardaro, Gianluca; d'Aquin, Mathieu and Motta, Enrico (2017). An ontology-based approach to improve the accessibility of ROS-based robotic systems. In: Proceedings of the Knowledge Capture Conference on - K-CAP 2017, pp. 1–8.

Tiddi, Ilaria; Bastianelli, Emanuele; Daga, Enrico and d'Aquin, Mathieu (2016). DKA-robo: dynamically updating time-invalid knowledge bases using robots. In: 20th International Conference on Knowledge Engineering and Knowledge Management (EKAW2016), 19-23 Nov 2016, Bologna, Italy.

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Tiddi, Ilaria; Daga, Enrico; Bastianelli, Emanuele and d'Aquin, Mathieu (2016). Update of time-invalid information in Knowledge Bases through Mobile Agents. In: Integrating Multiple Knowledge Representation and Reasoning Techniques in Robotics (MIRROR-16), 10 Oct 2016, Deajeon, South Korea.

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Vanzo, Andrea; Croce, Danilo; Bastianelli, Emanuele; Basili, Roberto and Nardi, Daniele (2020). Grounded Language Interpretation of Robotic Commands through Structured Learning. Artificial Intelligence, 278, article no. 103181.

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