engleski

Context-Aware System Applied in Industrial Assembly Environment

The objective of this paper is to present an ongoing development of a context-aware system used within industrial environments. The core of the system is, so-called Cognitive Model for Robot Group Control. This model is based on well-known concepts of Ubiquitous Computing and it is used to control the robot behaviors in specially designed industrial environments. By using sensors integrated within the environment, the system is able to track and analyze changes, and timely updates its informational buffer. Based on freshly collected information, the Model is able to provide a transformation of high-level contextual information to lower ones that are much more suitable and understandable for technical systems. The Model uses semantically defined knowledge to define domain of interest, and Bayesian Network reasoning to deal with uncertain events and ambiguity scenarios that characterizes our naturally unstructured world.

Context-Aware ; Ubiquitous Computing ; Ontology ; Probabilistic Robotics ; Design

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