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Analogical Generalization of Activities from Single Demonstration
[chapter]
2014
Lecture Notes in Computer Science
Learning new activities (i.e., sequences of actions possibly involving new objects) from single demonstrations is common for humans and would thus be very desirable for future robots as well. However, "one-shot activity learning" is currently still in its infancy and limited to just recording the observed objects and actions of the human demonstrator. In this paper, we introduce a process called "Mental Elaboration and Generalization by Analogy" to create a generalized representation of an
doi:10.1007/978-3-319-12027-0_40
fatcat:5cedgtzir5cfnoioeuxvjuzvdu