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

Tehnički Glasnik

Juraj Benić¹  Leon Koren¹  Tomislav Stipančić¹  Andrija Ričko¹ 

[1] University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, Ivana Lucica 5, 10000 Zagreb, Croatia, EU;

关键词: affective;    cognitive informatics;    context;    emotions;    human-robot interaction;    knowledge representation;   

DOI  :  

来源: DOAJ

【 摘 要 】

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.

【 授权许可】

Unknown