Grounding Language in Play

Lynch Corey
Lynch Corey
Cited by: 0|Bibtex|Views88
Other Links: arxiv.org

Abstract:

Natural language is perhaps the most versatile and intuitive way for humans to communicate tasks to a robot. Prior work on Learning from Play (LfP) [Lynch et al, 2019] provides a simple approach for learning a wide variety of robotic behaviors from general sensors. However, each task must be specified with a goal image---something that ...More

Code:

Data:

Full Text
Your rating :
0

 

Tags
Comments