Few-shot Object Grounding and Mapping for Natural Language Robot Instruction Following

We study the problem of learning a robot policy to follow natural language instructions that can be easily extended to reason about new objects. We introduce a few-shot language-conditioned object grounding method trained from augmented reality data that uses exemplars to identify objects and align...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Blukis, Valts, Knepper, Ross A, Artzi, Yoav
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Artificial Intelligence Computer Science - Computation and Language Computer Science - Computer Vision and Pattern Recognition Computer Science - Learning Computer Science - Robotics
Online-Zugang:	Volltext bestellen
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!