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Learning by an Autonomous Robot at a Process Control Panel
Winter 1989 (vol. 4 no. 4)
pp. 8-16

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.

Citation:
P.F. Spelt, G. de Saussure, E. Lyness, F.G. Pin, C.R. Weisbin, "Learning by an Autonomous Robot at a Process Control Panel," IEEE Intelligent Systems, vol. 4, no. 4, pp. 8-16, Winter 1989, doi:10.1109/64.43281
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