Design of Multi-Sensory Integrated Interactive Robot with Genetic Algorithm
This paper presents the design of an interactive robot integrated by multi-sensory systems. In order to accomplish basic home services, the robot consists of the functions of environmental map construction, autonomous navigation, collision-free control, and human-robot interaction. For environmental sensing and object tracking, a series of image features recognition procedures are used to establish the database of objective images. By integrating image information of objectives and ground lines, the robot can determine the relative localities of specific objectives and then perform the construction of environmental map and robotic localization. Besides, the user can remotely control the robot to navigate and set up the environmental map in internet. In order to let the robot be suitable to various environments, there is a genetic algorithm based fuzzy control system to navigate collision-free. By integrating multi-sensory functions, the proposed robot really has the rudiments of visual, multi-sensory and interactive integration.
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Document Type: Research Article
Publication date: September 1, 2013
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