activity
20132023
most citedPulcinella: A General Tool for Propagating Uncertainty in Valuation Networks

62 citations · 163 across the 16 of their papers we have counts for

collaborators

17 papers

cs.AI2023★ 2 cited

Planning for Learning Object Properties

Leonardo Lamanna, Luciano Serafini, Mohamadreza Faridghasemnia +4

Autonomous agents embedded in a physical environment need the ability to recognize objects and their properties from sensory data. Such a perceptual ability is often implemented by…

cs.AI2022★ 2 cited

Two ways to make your robot proactive: reasoning about human intentions, or reasoning about possible futures

Sera Buyukgoz, Jasmin Grosinger, Mohamed Chetouani +1

Robots sharing their space with humans need to be proactive in order to be helpful. Proactive robots are able to act on their own initiative in an anticipatory way to benefit human…

cs.AI2022★ 1 cited

Composing Complex and Hybrid AI Solutions

Peter Schüller, João Paolo Costeira, James Crowley +5

Progress in several areas of computer science has been enabled by comfortable and efficient means of experimentation, clear interfaces, and interchangable components, for example u…

cs.AI2021★ 1 cited

On some Foundational Aspects of Human-Centered Artificial Intelligence

Luciano Serafini, Raul Barbosa, Jasmin Grosinger +9

The burgeoning of AI has prompted recommendations that AI techniques should be "human-centered". However, there is no clear definition of what is meant by Human Centered Artificial…

cs.RO2021

An Open-Source Modular Robotic System for Telepresence and Remote Disinfection

Andre Potenza, Andrey Kiselev, Alessandro Saffiotti +1

In a pandemic contact between humans needs to be avoided wherever possible. Robots can take over an increasing number of tasks to protect people from being exposed to others. One s…

cs.AI2020

Towards Abstract Relational Learning in Human Robot Interaction

Mohamadreza Faridghasemnia, Daniele Nardi, Alessandro Saffiotti

Humans have a rich representation of the entities in their environment. Entities are described by their attributes, and entities that share attributes are often semantically relate…

cs.LG2019

Robby is Not a Robber (anymore): On the Use of Institutions for Learning Normative Behavior

Stevan Tomic, Federico Pecora, Alessandro Saffiotti

Future robots should follow human social norms in order to be useful and accepted in human society. In this paper, we leverage already existing social knowledge in human societies…

cs.AI2019★ 2 cited

Anticipation in collaborative music performance using fuzzy systems: a case study

Oscar Thörn, Peter Fögel, Peter Knudsen +2

In order to collaborate and co-create with humans, an AI system must be capable of both reactive and anticipatory behavior. We present a case study of such a system in the domain o…

cs.AI2019

Learning from Implicit Information in Natural Language Instructions for Robotic Manipulations

Ozan Arkan Can, Pedro Zuidberg Dos Martires, Andreas Persson +5

Human-robot interaction often occurs in the form of instructions given from a human to a robot. For a robot to successfully follow instructions, a common representation of the worl…

cs.AI2018★ 3 cited

Norms, Institutions, and Robots

Stevan Tomic, Federico Pecora, Alessandro Saffiotti

Interactions within human societies are usually regulated by social norms. If robots are to be accepted into human society, it is essential that they are aware of and capable of re…

cs.CY2018★ 62 cited

Paving the Way for Culturally Competent Robots: a Position Paper

Barbara Bruno, Nak Young Chong, Hiroko Kamide +9

Cultural competence is a well known requirement for an effective healthcare, widely investigated in the nursing literature. We claim that personal assistive robots should likewise…

cs.RO2018★ 10 cited

A framework for Culture-aware Robots based on Fuzzy Logic

Barbara Bruno, Fulvio Mastrogiovanni, Federico Pecora +2

Cultural adaptation, i.e., the matching of a robot's behaviours to the cultural norms and preferences of its user, is a well known key requirement for the success of any assistive…

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:…

cs.RO2017★ 6 cited

The CARESSES EU-Japan project: making assistive robots culturally competent

Barbara Bruno, Nak Young Chong, Hiroko Kamide +9

The nursing literature shows that cultural competence is an important requirement for effective healthcare. We claim that personal assistive robots should likewise be culturally co…

cs.AI2013★ 8 cited

Using Dempster-Shafer Theory in Knowledge Representation

Alessandro Saffiotti

In this paper, we suggest marrying Dempster-Shafer (DS) theory with Knowledge Representation (KR). Born out of this marriage is the definition of "Dempster-Shafer Belief Bases", ab…

cs.AI2013★ 62 cited

Pulcinella: A General Tool for Propagating Uncertainty in Valuation Networks

Alessandro Saffiotti, Elisabeth Umkehrer

We present PULCinella and its use in comparing uncertainty theories. PULCinella is a general tool for Propagating Uncertainty based on the Local Computation technique of Shafer and…

cs.AI2013

Belief Functions and Default Reasoning

Salem Benferhat, Alessandro Saffiotti, Philippe Smets

We present a new approach to dealing with default information based on the theory of belief functions. Our semantic structures, inspired by Adams' epsilon-semantics, are epsilon-be…