TR022: A Theory of the Knowledge Environment for Construction Automation

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Abstract/Contents

Abstract: In 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.

Type of resource	text
Date created	January 1990

Author	Chua, Lai Heng

Subject	CIFE
Subject	Center for Integrated Facility Engineering
Subject	Stanford University
Subject	Artificial Intelligence
Subject	Construction Robots
Genre	Technical report

Location	https://purl.stanford.edu/bk904pv1876

Use and reproduction: User agrees that, where applicable, content will not be used to identify or to otherwise infringe the privacy or confidentiality rights of individuals. Content distributed via the Stanford Digital Repository may be subject to additional license and use restrictions applied by the depositor.

Preferred Citation: Chua, Lai Heng. (1990). TR022: A Theory of the Knowledge Environment for Construction Automation. Stanford Digital Repository. Available at: http://purl.stanford.edu/bk904pv1876

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