A framework structure for generation of action primitives using programming by demonstration

Yunsick Sung, Daxing Jin, Kyungeun Cho, Kyhun Urn

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

A variety of virtual agents, objects and buildings enhance the reality of a virtual world but the development of differentiated agents is needed. Individual agents may be developed more easily and quickly by programming using demonstration than by development using coding for each unique function. Programming by demonstration (PhD) is an approach to directly deliver the experience of the predecessors without coding. To allow agents to act and move like human beings using PhD, users extensively collect, classify and analyze data. The study of commercial frameworks which can be applied to a variety of environments for extending the development and application of PhD is needed. This study suggests agent programming by demonstration framework which can process a series of processes from data collection to the generation of agent behaviors in a virtual world. The automobile simulation shows the application process by PbD.

Original languageEnglish
Title of host publicationProceedings of the 11th IASTED International Conference on Artificial Intelligence and Applications, AIA 2011
Pages63-68
Number of pages6
DOIs
StatePublished - 2011
Event11th IASTED International Conference on Artificial Intelligence and Applications, AIA 2011 - Innsbruck, Austria
Duration: 14 Feb 201116 Feb 2011

Publication series

NameProceedings of the 11th IASTED International Conference on Artificial Intelligence and Applications, AIA 2011

Conference

Conference11th IASTED International Conference on Artificial Intelligence and Applications, AIA 2011
Country/TerritoryAustria
CityInnsbruck
Period14/02/1116/02/11

Keywords

  • Demonstration
  • Demonstration authoring tool
  • Demonstration framework
  • Imitation learning
  • Programming by demonstration

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