Fuzzy-Based Robot Behavior with the Application of Emotional Pattern Generator


  • Laura Trautmann Department of Machine and Product Design, Faculty of Mechanical Engineering, Budapest University of Technology and Economics, Hungary
  • Attila Piros Department of Innovative Vehicles and Materials, GAMF Faculty of Engineering and Computer Science, John von Neumann University, Hungary
  • János Botzheim Department of Artificial Intelligence, Faculty of Informatics, ELTE Eötvös Loránd University, Hungary https://orcid.org/0000-0002-7838-6148




human-robot interaction, social robot, fuzzy system, emotion-driven design, patter design


The article deals with the development of human–robot interaction, where the robot measures the user’s emotional state as well as environmental factors by different devices, and it responds to the user with colorful patterns and controls the smart home through the guidance of the Internet of Things system. Before the design process, robots and their functions currently on the market, the role of emotions in communication, and technologies for measuring emotion (such as face recognition, measurement of heart rate, breath, and physical changes) are presented in detail. The designed robot (Em-Patty) uses a previously developed emotion-based automatic pattern generation system based on a fuzzy system, which is a suitable tool for handling emotions. A main and three fuzzy subsystems are fusioned in order to create the most efficient control system for Em-Patty. The nature-inspired design of the robot is also presented, as well as a description of its behavior with the help of a specific case study.


Received: 14 June 2023 | Revised: 4 March 2024 | Accepted: 19 April 2024


Conflicts of Interest

The authors declare that they have no conflicts of interest to this work.


Data Availability Statement

Data sharing is not applicable to this article as no new data were created or analyzed in this study.


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How to Cite

Trautmann, L. ., Piros, A. ., & Botzheim, J. (2024). Fuzzy-Based Robot Behavior with the Application of Emotional Pattern Generator. Artificial Intelligence and Applications, 2(3), 209–224. https://doi.org/10.47852/bonviewAIA42021212



Research Article