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Preliminary communication

https://doi.org/10.31803/tg-20220504100707

Context-Driven Method in Realization of Optimized Human-Robot Interaction

Leon Koren orcid id orcid.org/0000-0002-2877-5380 ; University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, Ivana Lucica 5, 10000 Zagreb, Croatia, EU
Tomislav Stipančić orcid id orcid.org/0000-0001-5160-9172 ; University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, Ivana Lucica 5, 10000 Zagreb, Croatia, EU
Andrija Ričko orcid id orcid.org/0000-0001-9075-9608 ; University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, Ivana Lucica 5, 10000 Zagreb, Croatia, EU
Juraj Benić orcid id orcid.org/0000-0001-7077-4931 ; University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, Ivana Lucica 5, 10000 Zagreb, Croatia, EU


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Abstract

Perceptual uncertainty and environmental volatility are among the most enduring challenges in robotic research today. Contemporary robotic systems are usually designed to work in specific and controlled domains where a total number of variables is defined. Traditional solutions therefore often result in over-constrained interaction spaces or rigid system architectures where any unexpected change can result in system failure. The focus of this work is set on achieving a constant adaptation of the system to changes through interaction. A computational mechanism based on the entropy reduction method is integrated along with the three-component control model. This model is seen as a context-to-data interpreter used to provide context-aware reasoning to the technical system. The mechanism is using a decrease in interaction uncertainties when proofs are provided to the system. In this way, the robot can choose the right interaction strategy that resolves reasoning ambiguities most efficiently.

Keywords

affective; cognitive informatics; context; emotions; human-robot interaction; knowledge representation; probabilistic reasoning; robotics; ubiquitous computing

Hrčak ID:

279404

URI

https://hrcak.srce.hr/279404

Publication date:

21.6.2022.

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