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.


New paper to be presented at ACII 2019

Our paper titled “Multimodal and Temporal Perception of Audio-visual Cues for Emotion Recognition” has been selected for oral presentation at the 8th International Conference on Affective Computing & Intelligent Interaction (ACII 2019). ACII 2019 will take place in Cambridge, the United Kingdom between 3rd-6th September 2019.

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/

New article in IEEE multimedia

Oour joint work with UPM and CERTH ‘Behaviour analysis through multimodal sensing for improving Parkinson and Alzheimer patients quality of life’ has been accepted for publication at IEEE multimedia magazine

Paper accepted at ICMLA2017 conference

It has been a good week for RAI!

Our paper titled “A retrieval-based dialogue system utilizing utterance and context embeddings”  (A. Bartl, G. Spanakis) is accepted as a poster paper at the 16th IEEE International on Machine Learning and Applications (ICMLA2017).

This paper was first-authored by one of our Master in Artificial Intelligence graduates and describes his work towards building a chatbot for one of Maastricht based companies that DKE works with.