Multimodal estimation and communication of latent semantic knowledge for robust execution of robot instructions
The goal of this article is to enable robots to perform robust task execution following human instructions in partially observable environments. A robot’s ability to interpret and execute commands is fundamentally tied to its semantic world knowledge. Commonly, robots use exteroceptive sensors, such...
Main Authors: | Arkin, Jacob, Park, Daehyung, Roy, Subhro, Walter, Matthew R, Roy, Nicholas, Howard, Thomas M, Paul, Rohan |
---|---|
Other Authors: | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory |
Format: | Article |
Published: |
SAGE Publications
2021
|
Online Access: | https://hdl.handle.net/1721.1/130573 |
Similar Items
-
Leveraging Past References for Robust Language Grounding
by: Roy, Subhro, et al.
Published: (2021) -
Efficient Grounding of Abstract Spatial Concepts for Natural Language Interaction with Robot Manipulators
by: Paul, Rohan, et al.
Published: (2018) -
An Intelligence Architecture for Grounded Language Communication with Field Robots
by: Howard, Thomas, et al.
Published: (2022) -
Interpreting and Executing Recipes with a Cooking Robot
by: Bollini, Mario A, et al.
Published: (2018) -
Inferring Maps and Behaviors from Natural Language Instructions
by: Duvallet, Felix, et al.
Published: (2018)