Welcome to the website of the Robots, Agents, and Interaction (RAI) group at the Department of Data Science & Knowledge Engineering of the Faculty of Science and Engineering (FSE) at Maastricht University.

RAI has strong experience in the design and implementation of  machine learning, data mining, computer vision, and robotics. This includes broad know-how in research involving learning and coordination among autonomous agents (software or robots), human-robot interaction, human activity & emotion recognition in HCI/HRI (Human-Computer/Robot Interaction), swarm and modular robotics, automated negotiation, and AI knowledge transfer.

Swarmlab and Robotlab operate within RAI since 2010 and 2002, respectively.


Two papers accepted to ICIP 2020

Our papers title “Audio-based Emotion Recognition Enhancement through Progressive GAN” and “Multimodal Attention-Mechanism for Temporal Emotion Recognition” have been accepted for publication in the 27th IEEE International Conference on Image Processing (ICIP 2020).

2 papers to be presented at ESANN 2019

Two papers were accepted for presentation at the 27th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2019) which will take place in Bruges, Belgium from 24 to 26 April 2019. Here are the authors and titles:

Predict Facebook reactions: New paper out!


Our paper titled “Social Emotion Mining Techniques for Facebook Posts Reaction Prediction” is accepted for publication at the 10th International Conference on Agents and Artificial Intelligence (ICAART 2018) as a full paper.

This paper was authored by four of our Master in Artificial Intelligence students and their supervisor (Florian Krebs, Bruno Lubascher, Tobias Moers, Pieter Schaap, Gerasimos Spanakis) as part of a semester research project and explored how deep learning techniques (CNN and RNN) can be used to set up a prediction module for reaction predictions on Facebook posts.


New book chapter

A description of the platform employed in ICT4Life has been published as a book chapter; it is a joint work of the ICT4Life consortium, in which, RAI, plays a leading role in AAL activities and machine intelligence applications.

For more details:

  • A. Sánchez-Rico, P. Garel, I. Notarangelo, M. Quintana, G. Hernández, S. Asteriadis, M. Popa, N. Vretos, V. Solachidis, M. Burgos, A. Girault. ICT Services for Life Improvement for the Elderly. Stud Health Technol Inform. 242:600-605, 2017

ICT4Life project link: http://www.ict4life.eu/