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  • 2016

  • Stipancic, Tomislav; Jerbic, Bojan; Curkovic, Petar (2016): A context-aware approach in realization of socially intelligent industrial robots. In: Robotics and Computer-Integrated Manufacturing 37, S. 79-89. DOI: 10.1016/j.rcim.2015.07.002

    Abstract: Contemporary industrial environments are usually constrained or limited in order to fit a fast, cheap and non-error prone production. Human-like system capabilities are not generally desirable there. But, recent trends in industrial robotics demand robust, flexible and efficient robots with a certain level of autonomy. Therefore, new and different approaches and perspectives in designing of industrial facilities are required. This paper reveals how a context-based reasoning can be used to achieve an intelligent robot group behavior. In order to achieve adaptivity, self-recovery or scalability of the system, a COgnitive MOdel for the Robot group control (COMOR) is developed. COMOR can be understood as an interpreter used to transform high-level context to low-level data, allowing machines to make context-based decisions. COMOR has three main parts and relies on a simulated Social Capital phenomenon as a feature of people. The first part is used to collect significant information from the environment. The second part is used to provide a set of possible solutions respecting the semantic domain description. The last part of COMOR is used to provide a behavioral component ensuring an optimal solution to given environmental conditions.

    Keywords: adaptivity, Cognitive robotics, COMOR, COMOR / Social Capital, Context-awareness, Kognitionswissenschaft/Social Sciences/Humanities, Mensch-Technik-Relationen (MTR), Ontology, Probabilistic graphical models, Realtechnik, Sozial Intelligente Agenten, Soziale Robotik, Soziosensitive Systeme, Technik, Ubiquitous computing
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