Affiliations: [a] LIPN-CNRS-Université Paris 13, 99 av. Jean-Baptiste Clément, Villetaneuse, France
| [b] IIMAS-UNAM, Circuito Escolar 3000, Cd.Universitaria, 04510 CDMX, Mexico
| [c] CNRS-LORIA, Campus Scientifique BP 239, 54506 Vandoeuvre-lès-Nancy Cedex, France
Correspondence:
[*]
Corresponding author. Jorge Garcia Flores, LIPN-CNRSUniversit ´e Paris 13, 99 av. Jean-Baptiste Cl´ement, 93430, Villetaneuse, France. E-mail: [email protected].
Note: [1] Research funded by Agence Universitaire de la Francophonie – Petites initiatives de recherche d’animation et de transfert (PIRAT) 2015–2017.
Abstract: What if service robots could tell the story of the task they’ve just realized like a story? The aim of our work is to provide service robots with natural language capabilities to produce a Robot Experience Story for its human interlocutors. Robxp stories are narratives composed of the robot’s holistic perception of a recently performed task: navigation, visual perceptions and action descriptions. We contribute with a narrate dialog model specifying the composition of situations necessary for a service robot to transform its task history record into a narrative knowledge representation. We provide SitLog algorithms allowing to analyze the robot’s situation and behaviors sequence in order to generate a robxp story of the task. Both the dialogue model and the algorithms can be embedded as compositional behaviors in any other SitLog task structure. We instantiated our model into the Golem service robot framework on an experimental task. We believe Robxp stories generation could be integrated as a standard behavior for more complex service robot tasks.
Keywords: Robot experience stories, SitLog, service robot, narrative generation
