30 citations · 31 across the 5 of their papers we have counts for
5 papers
Enhancing the Interpretability of Rule-based Explanations through Information Retrieval
Alessandro Umbrico, Guido Bologna, Luca Coraci +3
The lack of transparency of data-driven Artificial Intelligence techniques limits their interpretability and acceptance into healthcare decision-making processes. We propose an att…
TRIFFID: Autonomous Robotic Aid For Increasing First Responders Efficiency
Jorgen Cani, Panagiotis Koletsis, Konstantinos Foteinos +14
The increasing complexity of natural disaster incidents demands innovative technological solutions to support first responders in their efforts. This paper introduces the TRIFFID s…
Optimal task and motion planning and execution for human-robot multi-agent systems in dynamic environments
Marco Faroni, Alessandro Umbrico, Manuel Beschi +3
Combining symbolic and geometric reasoning in multi-agent systems is a challenging task that involves planning, scheduling, and synchronization problems. Existing works overlooked…
Knowledge Graphs Evolution and Preservation -- A Technical Report from ISWS 2019
Nacira Abbas, Kholoud Alghamdi, Mortaza Alinam +71
One of the grand challenges discussed during the Dagstuhl Seminar "Knowledge Graphs: New Directions for Knowledge Representation on the Semantic Web" and described in its report is…
Timeline-based Planning and Execution with Uncertainty: Theory, Modeling Methodologies and Practice
Alessandro Umbrico
Automated Planning is one of the main research field of Artificial Intelligence since its beginnings. Research in Automated Planning aims at developing general reasoners (i.e., pla…