Robot experience stories: First person generation of robotic task narratives in SitLog1
| Autor: | Luis A. Pineda, Aldo Gangemi, Claire Gardent, Jorge García Flores, Ivan Meza, Emilie Colin |
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| Přispěvatelé: | Flores, Jorge Garcia, Meza, Iván, Colin, Émilie, Gardent, Claire, Gangemi, Aldo, Pineda, Luis A. |
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
Statistics and Probability
0209 industrial biotechnology Computer science General Engineering 02 engineering and technology Task (project management) 020901 industrial engineering & automation Artificial Intelligence Human–computer interaction First person Robot experience stories SitLog service robot narrative generation 0202 electrical engineering electronic engineering information engineering Robot 020201 artificial intelligence & image processing Narrative |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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