Instruction Taking in the TeamTalk System

Rudnicky, Alexander I. (Carnegie Mellon University) | Pappu, Aasish (Carnegie Mellon University) | Li, Peng (Carnegie Mellon University) | Marge, Matthew (Carnegie Mellon University) | Frisch, Benjamin (Carnegie Mellon University)

AAAI Conferences 

TeamTalk is dialogue framework that supports multi-participant spoken interaction between humans and robots in a task-oriented setting that requires cooperation and coordination between team members. This paper describes some recently added features to the system, in particular the ability for robots to accept and remember location labels and the ability to learn action sequences. These capabilities reflect the incorporation into the system of an ontology and an instruction understanding component.

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