Thursday morning talk: Andreagiovanni Reina (Université Libre de Bruxelles)

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Thursday morning talk: Andreagiovanni Reina (Université Libre de Bruxelles)

I investigate how large groups of simple robots can reach a consensus with decentralized minimalistic algorithms. Simple robots can be useful in nanorobotics and in scenarios with low-cost requirements. I show that through decentralized voting algorithms, swarms of minimalistic robots can make best-of-n decisions. In my research, I show that using a biologically-inspired voting model based on inhibitory signals, the swarm can collectively perform better and be more resilient against a minority of misbehaving robots than in models without inhibition. Our best-of-n decision algorithm can also be used for collective environmental monitoring. I will show that investigating these models can be very interesting and yield surprising results. As Anderson said in 1972, More is different. In our analysis, we found that limiting the communication range or the speed of the robots can improve collective performance in a range of relevant conditions. We explain the mechanisms of some of these phenomena with a combination of mathematical models and large-scale robot experiments.
Short bio:
Andreagiovanni Reina received an MSc degree in Computer Engineering from Politecnico di Milano, Italy, and a PhD degree in applied sciences from IRIDIA, Université Libre de Bruxelles, Belgium. He was a research fellow at the University of Sheffield, UK, from 2015 to 2020. Andreagiovanni is currently a Research Fellow in collective behaviour at the Interdisciplinary Institute for Artificial Intelligence (IRIDIA) of the Universite Libre de Bruxelles, funded by the Belgian F.R.S.-FNRS as a Charge de Recherches. He has been a researcher in seven European projects on distributed robotic systems since 2009.

This talk will take place in person at SCIoI.

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Event Details

Date: February 9 @ 10:00 am - 11:00 am CET
Time: 10:00 am - 11:00 am