62 citations · 85 across the 10 of their papers we have counts for
9 papers · 1 filter
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…
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…
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…
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…
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…
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:…