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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.

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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