Memory Selector Research Articles

Intelligent Control of Autonomous Soccer Robots Compensating for Missing Information

For autonomous mobile robots, visual information is used to recognize the environment. Although the acquisition of visual information is often disturbed in the real environment, it is necessary for a robot to act appropriately even if information is missing. We compensate for missing information for autonomous mobile robots by using short-term memory (STM) to make robots act appropriately. This method involves short-term memory and action selectors. Short-term memory is constructed based on the model of human memory and the forgetting curve used in cognitive science. These action selectors use compensated-for information and determine suitable action. One action selector consists of a neural network whose connection weights are learned by a genetic algorithm. Another selector is designed based on the designer's knowledge. These action selectors are switched based on reliability index of information. RoboCup Middle Size League soccer robots are used for demonstration. The experimental and simulation results show its effectiveness.

Speech recognition system and method for an automotive vehicle

A speech recognition system for an automotive vehicle sequentially activates at least one device having plural different operating modes in accordance with a plurality of spoken instructions without repeating the same phrase. To adjust fender mirrors, for instance, first the driver says "Mirror" while depressing a recognition switch to stop the moving mirror; secondly the driver says "Right, horizontally", thirdly the driver says "Right, vertically" after having depressed a reset switch; lastly the driver says "Stop". The speech recognition system comprises a reset switch, at least one device instruction phrase memory, plural operation-mode instruction phrase memories, and a reference pattern memory selector for selecting the device memory or an appropriate operation-mode memory, in addition to or in place of a section of a conventional speech recognizer.