AI Synergies


Miquel Kegeleirs

PhD Student

Comparison of Different Exploration Schemes in the Automatic Modular Design of Robot Swarms

Our paper is about the impact of different exploration schemes on the automatic design of robot swarm. We compare an exploration-oriented method, AutoMoDe-Coconut, to its state-of-the-art counterpart, AutoMoDe-Chocolate in three missions in bounded and unbounded workspaces. The results show that there is no significant difference between the two methods. Hence, automatic modular methods such as Chocolate can produce complex exploration strategies even if they are endowed with simple exploration schemes.


I received my master degree in Engineering and Computer Science from the UniversiteĢ Libre de Bruxelles in 2018. I then joined the team of Dr. Mauro Birattari and I am carrying out my PhD studies in Engineering and Technology under his supervision. My research interests include the automatic design of control software for robot swarms and swarm mapping.


Gamay room
Research presentations AI
Day 3 - Nov 8th

Brewery of Ideas

AI Synergies is organized by VUB/ULB, BNVKI and Brewery of Ideas.

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