Improving Cognitive Models and Artificial Cognition
Abstract
This project is a joint U.S. - India JCTD that will create architectures and modules that monitor and predict fatigue, provide new interaction capabilities, and allow autonomous systems to learn through interactive tasks. The overall architecture, which will use a combination of adaptive control of thought—rational and logic architecture will be demonstrated on two separate tasks: finding people and finding objects. The goal is to build the basic level architecture to learn how to find people and objects by improving embodied cognition, human robot interaction, and interactive task learning.
Document Details
- Document Type
- Accomplishment
- Publication Date
- Oct 01, 2018
- Source ID
- 4d97a9f057b3941ac14ae7de4fa17e39