An architecture for robot intelligence enables a robot to learn new behaviors and create new behavior sequences autonomously and interact with a dynamically changing environment. Sensory information is mapped onto a Sensory Ego-Sphere (SES) that rapidly identifies important changes in the environment and functions much like short term memory. Behaviors are stored in a DBAM that creates an active map from the robot's current state to a goal state and functions much like long term memory. A dream state converts recent activities stored in the SES and creates or modifies behaviors in the DBAM.
Architecture for robot intelligence
2004-02-24
Miscellaneous
No indication
English
Architecture for Robot Intelligence
NTIS | 2003
|Robot Electronics Architecture
Online Contents | 2008
Robot Electronics Architecture
NTRS | 2008
|