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U.S. Department of Energy
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Experimentation and concept formation by an autonomous mobile robot

Conference ·
OSTI ID:7170098
The Center for Engineering Systems Advanced Research (CESAR) conducts basic research in the area of intelligent machines. In this paper, we describe our approach to a class of machine learning which involves autonomous concept formation using feedback from trial-and-error experimentation with the environment. Our formulation was experimentally validated on an autonomous mobile robot, which learned the task of control panel monitoring and manipulation for effective process control. Conclusions are drawn concerning the applicability of the system to a more general class of learning problems, and implications for the use of autonomous mobile robots in hostile and unknown environments are discussed. 11 refs., 7 figs.
Research Organization:
Oak Ridge National Lab., TN (USA)
Sponsoring Organization:
DOE/ER
DOE Contract Number:
AC05-84OR21400
OSTI ID:
7170098
Report Number(s):
CONF-900729-1; ON: DE90003063
Country of Publication:
United States
Language:
English