A context-aware approach in realization of socially intelligent industrial robots
A cognitive model for a robot work (COMOR) on industrial assignments is proposed. A partial contextual awareness is achieved through three model components. Sensors are placed seamlessly within the environment to ensure ubiquitousness. Formal knowledge is stored in so-called the Core Ontology as a domain description. Social Capital is achieved in Bayesian Network to provide unambiguity in solutions.
context-awareness ontology cognitive robotics probabilistic graphical models ubiquitous computing