activity
20172026
most citedAn Ergonomic Role Allocation Framework for Dynamic Human-Robot Collaborative Tasks

75 citations · 445 across the 63 of their papers we have counts for

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10 papers · 1 filter

cs.AI2025

Achieving Scalable Robot Autonomy via neurosymbolic planning using lightweight local LLM

Nicholas Attolino, Alessio Capitanelli, Fulvio Mastrogiovanni

PDDL-based symbolic task planning remains pivotal for robot autonomy yet struggles with dynamic human-robot collaboration due to scalability, re-planning demands, and delayed plan…

cs.AI2024

OWLOOP: Interfaces for Mapping OWL Axioms into OOP Hierarchies

Luca Buoncompagni, Fulvio Mastrogiovanni

The paper tackles the issue of mapping logic axioms formalised in the Ontology Web Language (OWL) within the Object-Oriented Programming (OOP) paradigm. The issues of mapping OWL a…

cs.AI2024

Incremental Bootstrapping and Classification of Structured Scenes in a Fuzzy Ontology

Luca Buoncompagni, Fulvio Mastrogiovanni

We foresee robots that bootstrap knowledge representations and use them for classifying relevant situations and making decisions based on future observations. Particularly for assi…

cs.AI2023★ 25 cited

A Framework for Neurosymbolic Robot Action Planning using Large Language Models

Alessio Capitanelli, Fulvio Mastrogiovanni

Symbolic task planning is a widely used approach to enforce robot autonomy due to its ease of understanding and deployment in robot architectures. However, techniques for symbolic…

cs.AI2021★ 4 cited

OWLOOP: A Modular API to Describe OWL Axioms in OOP Objects Hierarchies

Luca Buoncompagni, Syed Yusha Kareem, Fulvio Mastrogiovanni

OWLOOP is an Application Programming Interface (API) for using the Ontology Web Language (OWL) by the means of Object-Oriented Programming (OOP). It is common to design software ar…

cs.AI2021★ 13 cited

Human Activity Recognition Models in Ontology Networks

Luca Buoncompagni, Syed Yusha Kareem, Fulvio Mastrogiovanni

We present Arianna+, a framework to design networks of ontologies for representing knowledge enabling smart homes to perform human activity recognition online. In the network, node…

cs.AI2020

Manipulation of Articulated Objects using Dual-arm Robots via Answer Set Programming

Riccardo Bertolucci, Alessio Capitanelli, Carmine Dodaro +4

The manipulation of articulated objects is of primary importance in Robotics, and can be considered as one of the most complex manipulation tasks. Traditionally, this problem has b…

cs.AI2018★ 1 cited

Arianna+: Scalable Human Activity Recognition by Reasoning with a Network of Ontologies

Syed Yusha Kareem, Luca Buoncompagni, Fulvio Mastrogiovanni

Aging population ratios are rising significantly. Meanwhile, smart home based health monitoring services are evolving rapidly to become a viable alternative to traditional healthca…

cs.AI2017

Towards a new paradigm for assistive technology at home: research challenges, design issues and performance assessment

Luca Buoncompagni, Barbara Bruno, Antonella Giuni +2

Providing elderly and people with special needs, including those suffering from physical disabilities and chronic diseases, with the possibility of retaining their independence at…

cs.AI2017★ 4 cited

Scene learning, recognition and similarity detection in a fuzzy ontology via human examples

Luca Buoncompagni, Fulvio Mastrogiovanni, Alessandro Saffiotti

This paper introduces a Fuzzy Logic framework for scene learning, recognition and similarity detection, where scenes are taught via human examples. The framework allows a robot to:…