Paper Info
Title
A computer architecture for intelligent machines
Abstract
The theory of intelligent machines proposes a hierarchical organization for the functions of an autonomous robot based on the principle of increasing precision with decreasing intelligence. An analytic formulation of this theory using information-theoretic measures of uncertainty for each level of the intelligent machine has been developed. The authors present a computer architecture that implements the lower two levels of the intelligent machine. The architecture supports an event-driven programming paradigm that is independent of the underlying computer architecture and operating system. Execution-level controllers for motion and vision systems are briefly addressed, as well as the Petri net transducer software used to implement coordination-level functions. A case study illustrates how this computer architecture integrates real-time and higher-level control of manipulator and vision systems
Year
DOI
Venue
1992
10.1109/ROBOT.1992.219991
Nice
Keywords
Field
DocType
petri nets,computer architecture,computer vision,intelligent control,manipulators,mobile robots,petri net transducer software,autonomous robot,coordination-level functions,event-driven programming paradigm,information-theoretic measures,intelligent machines,manipulator,uncertainty,vision systems,operating system,vision system,computer programming,programming paradigm,robot kinematics,hardware,petri net,machine intelligence,transducers,vision,operating systems,machine vision,artificial intelligence,control systems,motion,robotics,robots,autonomy,distributed application
Computer architecture,Applications architecture,Machine vision,Computer science,Intelligent robots,Robot kinematics,Agent architecture,Control system,Intelligent computer network
Conference
Volume
Issue
ISBN
1992
1
0-8186-2720-4
Citations 
PageRank 
References 
11
1.38
7
Authors
2
Name
Order
Citations
PageRank
Lefebvre, D.R.1111.38
Saridis, G.N.223669.58