Learning by an autonomous robot at a process control panel

Author

Spelt, P.F. ; de Saussure, G. ; Lyness, E. ; Pin, F.G. ; Weisbin, C.R.

Author_Institution

Oak Ridge Nat. Lab., TN, USA

Volume

4

Issue

4

fYear

1989

Firstpage

8

Lastpage

16

Abstract

The authors describe initial work in autonomous learning, using HERMIES-IIB, their current robotic experimental testbed. The integrated system in HERMIES-IIB (the hostile environment robotic machine intelligence experiment, series IIB) is the latest in a series of autonomous, intelligent machines designed to perform in environments that humans cannot readily enter. They describe a system that learns the control panel´s system dynamics and remembers the most efficient series of responses to shut down a control process in case of future encounters with similar (but not necessarily identical) situations. Ultimately, this system could infer a classification scheme for panel categories, enabling it to hypothesize about correct response sequences for panels not yet encountered. They discuss preliminary work on the system´s inferencing section.<>

Keywords

artificial intelligence; industrial robots; inference mechanisms; learning systems; process computer control; HERMIES-IIB; autonomous learning; autonomous robot; classification scheme; hostile environment robotic machine intelligence experiment; inferencing section; integrated system; process control panel; Cognitive robotics; Error correction; Humans; Intelligent robots; Laboratories; Machine learning; Process control; Robot control; Signal analysis; Testing;

fLanguage

English

Journal_Title

IEEE Expert

Publisher

ieee

ISSN

0885-9000

Type

jour

DOI

10.1109/64.43281

Filename

43281