Skoči na glavni sadržaj

Tehnički glasnik, Vol. 16 No. 3, 2022.

Prethodno priopćenje

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

Puni tekst: engleski pdf 1.722 Kb

str. 320-327

preuzimanja: 280

citiraj

Sažetak

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.

Ključne riječi

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

Hrčak ID:

279404

URI

https://hrcak.srce.hr/279404

Datum izdavanja:

21.6.2022.

Posjeta: 594 *