Guest Editorial - Robotics And Automation With Biologically Inspired Intelligence


In the collection of this special issue is a set of 13 research papers selected, after two rounds of reviews, from a total number of 135 submissions. They are included in the special issue of the AutoSoft journal for their non-conventional approach towards engineering applications. Each of the selected papers investigates in a certain aspect into the development of biological inspired methods and their application in robotics and automation. The methods under investigation cover such soft computing techniques as neural networks, fuzzy logical, genetic algorithms, artificial intelligence, and machine learning; and the application areas range from robotics control to manufacturing automation. Together, these papers provide a broad coverage of the different aspects involved in the transfer of technology from lifeforms to engineering applications, including the mimicking of natural methods, imitation of biological mechanisms, and the study of behavioral principles. The first paper in the special issue presents a focused research project by W. Won et al. on the visual perceptual capability of human-like robot systems. As suggested by the concept of Autonomous Mental Development (AMD), robots can, like human beings, increase knowledge of the surroundings by interacting with their working environment. In analog to the attention mechanism that allows human beings to treat interesting objects differently from other objects, an object-oriented visual attention model is presented in the paper for the proposed officemate system. This paper includes technical details of the proposed methods, and provides discussions as well on strategies to deal with computational complexity. Though the system is not yet functioning at a level close to human behavior, evidence from both indoor and outdoor experiments shows the advantages and potentials of human-like robot systems. Another inquiry in the nature-mimicking category of technology transfer is presented by Zhong et al. in the next paper. Manufacturing in the computer promises great improvements on affordability, quality, productivity, flexibility, shorter cycle time, and customer relations. From the


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