Abstract
We developed a new control technique for tracking a moving object using a neurocomputer. The control is produced by the RICOH neurocomputer RN-2000, which is able to learn various control laws instantly, in order to track a moving object within a predetermined range of errors. The system for tracking consists of a new information processing system which is a primitive artificial brain (denoted the ABrain). This paper descrbes the new neurocomputer control technique used in the primitive ABrain and presents the results obtained from the tracking experiments.
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Sugisaka, M. Neurocomputer control in an artificial brain for tracking moving objects. Artificial Life and Robotics 1, 47–51 (1997). https://doi.org/10.1007/BF02471113
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DOI: https://doi.org/10.1007/BF02471113