Published 2012
| Version v1
Publication
A behaviour sequencing and composition architecture based on ontologies for entertainment humanoid robots
Creators
Contributors
Description
Research in Human-Robot interaction stresses the importance of non verbal behaviours in order
to enforce credibility and believability in robots. When using small and cheap entertainment
robots, verbal cues are very limited, gaze and facial gestures can be absent, whereas body gestures
comprise – as a matter of fact – only stereotyped behaviours. The main contribution of this
article is an evaluation study about the effects of pure body gestures when entertainment robots
are observed by humans in an interaction process. Robots are required to execute a sequence of
behaviours, as if they were playing on a stage. To this aim, a model for composing behaviour
primitives for entertainment humanoid robots using AND/OR graphs is presented. Both single
and multi robot scenarios are considered. The framework can sequence robot behaviours using
complex scripts, which can be easily programmed using standard ontology-based knowledge
representation mechanisms. Procedures are used to operate on the ontology representation in order
to execute behaviours in a fully hierarchical and recursive fashion. Experimental validation
with an interview campaign has been carried out using toy Kondo robots.
Additional details
Identifiers
- URL
- http://hdl.handle.net/11567/526518
- URN
- urn:oai:iris.unige.it:11567/526518
Origin repository
- Origin repository
- UNIGE