Design And Implementation Of Memory Base For Intelligent Home Service Robots

With further research in artificial intelligence, intelligent robots have gradually entered the people's vision and the public's life. Intelligent robot is considered the most promising future of new industries. The more senior citizens we have, the more intelligent home service robot we need. All that can be done by robots such as caring about children, playing games with children, reading newspapers for elderly, reminding patients to take medicine on time, staying at home to receive treatment, taking laundry, housekeeping and cleaning. Therefore, intelligent home service robot market prospects.The main work of this paper is to equip service robots with a memory base, which is in order to guide robots'behavior. Firstly, through comparing variety methods of knowledge representation with the demand of indoor environment, this paper establishes a knowledge representation model of indoor environment. Secondly, comparing with the Confirmation Theory, Bayesian Theory and Evidence Theory, this paper sets up an uncertain reasoning model of the Memory Base of intelligent home service robot. Finally, this paper develops a memory system for intelligent home service robot. It can effectively improve the intelligence level, through good man-machine interface of the memory continues to expand. This paper constructs five modules such as room structure reasoning, item finding reasoning, owner wishes reasoning, daily transaction processing and emergency management. This paper develops the intelligent home service robot simulation platform with planner, and verifies the effect of the robot's task execution on the platform.This paper sets up knowledge representation models and uncertainty reasoning models based on home environment. Simulation experiments have been done on simulation platform. This paper made useful exploration on intelligent service robot. It is an innovation attempt to apply common-sense memory on robot.