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A Theory of the Knowledge Environment for Construction Automation

TitleA Theory of the Knowledge Environment for Construction Automation
Publication TypeTechnical Report
Year of Publication1990
AuthorsChua, LHeng
IssueTR022
Date Published01/1990
PublisherCIFE
Publication Languageeng
Keywordsartificial intelligence, Center for Integrated Facility Engineering, CIFE, Construction Robots, Stanford University
AbstractIn future construction environments, intelligent machines must harness considerable knowledge to plan and control their tasks in spite of being limited in their own pre-defined knowledge. This paper first briefly describes the achievements and limitations of today's construction robots, then addresses the more complex environment in which their successors will work. To better integrate robots coming from various sources, they will need a unifying core of intelligent software and a framework to communicate knowledge about designs and field operations. Tomorrow's machines will need better abilities to access knowledge sources in their environment and to work cooperatively with other agents. While the development of such capabilities is among the most challenging tasks facing robotics researchers, it is not too soon to start coming to a consensus about the general nature of the intelligence robots will need to integrate into their environment and become more productive under complex conditions.
URLhttps://purl.stanford.edu/bk904pv1876
PDF Linkhttps://stacks.stanford.edu/file/druid:bk904pv1876/TR022.pdf
Citation Key1174