Andreagiovanni Reina, Research Group Leader — GIO Lab Group Intelligence and self-Organisation

Centre for the Advanced Study of Collective Behaviour, Universität Konstanz & Max Planck Institute of Animal Behavior, Germany

GIO Team

Group Intelligence & self-Organisation

Current Lab Members
Andreagiovanni Reina

Andreagiovanni Reina

Principal Investigator

Universität Konstanz &
Max Planck Institute of Animal Behavior

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Group Intelligence & self-Organisation

Alexandre

Alexandre Pacheco

Since 2024

Postdoc

Universität Konstanz

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Blockchain-based swarm robotics

Co-supervised with Heiko Hamann

Sindiso

Sindiso Mkhatshwa

Since 2024

PhD student

Universität Konstanz

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Swarm robotics

Simay

Simay Atasoy

Since 2024

PhD student

Universität Konstanz

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Swarm robotics

Co-supervised with Heiko Hamann

Alberto

Alberto Doimo

Since 2025

Research Assistant

Universität Konstanz

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Swarm ro-bat-ics

Co-supervised with Thejasvi Beleyur

Nicolas

Nicolas Bessone

Since 2024

Visiting PhD Student

IT University of Copenhagen, Denmark

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Collective active sensing through active inference

Co-supervised with Heiko Hamann

Marco

Marco Fele

Since Jan 2025

Visiting PhD Student

Swansea University, UK

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Event-based neuro-inspired decision-making

Mohammad Nomaan

Mohammad Nomaan Husain

Since 2024

Master Student

Universität Konstanz

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Collective decision-making in swarm robotics

Abdelrahman

Abdelrahman Abdelnaby

Since 2025

Master Student

Universität Konstanz

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Neuro-inspired swarm robotics

Gabriele

Gabriele Baroli

Since 2024

Visiting MSc Student

Politecnico di Milano, Italy

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Swarm ro-bat-ics

Co-supervised with Thejasvi Beleyur

Iacopo

Iacopo Fornai

Since 2024

Visiting MSc Student

Politecnico di Milano, Italy

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Blockchain-based swarm robotics

Co-supervised with Alexandre Pacheco

Pierluigi

Pierluigi Tartabini

Since 2024

Visiting MSc Student

Politecnico di Milano, Italy

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The robot swarm orchestra

Co-supervised with Lluc Bono

Remote Lab Members
Swadhin

Swadhin Agrawal

Since 2020

PhD student

IISER Bhopal, India

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Collective decision making via heterogeneous response thresholds

Raina

Raina Zakir

Since 2021

PhD student

Université Libre de Bruxelles, Belgium

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Swarm resiliency in collective decision making

Co-supervised with Marco Dorigo

Former GIO Lab members in Konstanz
Fabio

Fabio Oddi

Sep 2024 - Dec 2024

Visiting PhD Student

ISTC, Italian Research Council, Rome

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Quorum sensing in robot swarms

Co-supervised with Vito Trianni

Alumni before Konstanz
Thierry-Sainclair

Thierry-Sainclair Njougouo

2022 - 2024

Postdoc

Université de Namur, Belgium

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Impact of the network connectivity in best-of-n collective decision making.

Sébastien

Sébastien De Vos

2022 - 2023

Master Student

Université Libre de Bruxelles, Belgium

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Federated learning in swarm robotics using blockchain smart contracts

Nemanja

Nemanja Antonic

2022 - 2023

Visiting MSc Student

Politecnico di Milano, Italy

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Collective resilience of heterogeneous decision makers against stubborn individuals

Francesco

Francesco Cerri

2022 - 2023

Visiting MSc Student

Universtá di Bologna, Italy

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Reputation management in swarm robotics through crypto-economy

Angelo

Angelo Moroncelli

2022 - 2023

Visiting MSc Student

Politecnico di Milano, Italy

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Byzantine-fault tolerant Swarm SLAM

Ludéric

Ludéric Van Calck

2021 - 2022

Master Student

Université Libre de Bruxelles, Belgium

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An Information Market for Social Navigation in Robots

Antoine

Antoine Bertoux

2021 - 2022

Master Student

Université Libre de Bruxelles, Belgium

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Swarm resiliency against non-cooperative agents in collective decision-making

Till

Till Aust

2021 - 2022

Visiting MSc Student

University of Lübeck, Germany

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Collective Adaptation and Symmetry Breaking to Environmental Changes in a Swarm of Kilobots Monitoring a Dynamic Environment

Aldo E.

Aldo E. Encarnacion Segura

2016 - 2021

PhD student

University of Sheffield, UK

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Cellular decision-making models in yeast

Mohamed Salah

Mohamed Salah Talamali

2016 - 2021

PhD student

University of Sheffield, UK

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Simple individual behavioural rules for improving the collective behaviours of robot swarms

Arindam

Arindam Saha

2019 - 2021

Postdoc

University of Sheffield, UK

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Swarm Awareness.

Francesco

Francesco Canciani

2018 - 2019

Visiting MSc Student

Politecnico di Milano, Italy

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Swarm Resiliency in Collective Decision-Making

Federico

Federico Pratissoli

2018 - 2019

Visiting MSc Student

Università degli Studi di Modena e Reggio Emilia, Italy

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The Kilobot Soft Robot: A Soft-Bodied Modular Reconfigurable Robotic System

Anna

Anna Font Llenas

2017 - 2018

Visiting MSc Student

Sheffield Hallam University, UK

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Value-sensitive decisions through pheromone trails

Mohamed Salah

Mohamed Salah Talamali

2016 - 2017

Visiting MSc Student

Sheffield Hallam University, UK

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Automatic calibration system for kilobot robots

Eleftherios

Eleftherios Nikolaidis

2016 - 2017

Visiting BSc Student

Alexander Technological Educational Institute of Thessaloniki, Greece

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Creation of an overhead controller for the Kilobots and collective behavior

Anthony

Anthony Debruyn

2014 - 2015

Master Student

Université Libre de Bruxelles, Belgium

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Human-Swarm Interaction: An Escorting Robot Swarm that Diverts a Human away from Dangers one cannot perceive

Davide

Davide Brambilla

2014 - 2015

Visiting MSc Student

Politecnico di Milano, Italy

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Environment Classification: an Empirical Study of the Response of a Robot Swarm to Three Different Decision-Making Rules

Bernard

Bernard Mayeur

2013 - 2014

Master Student

Université Libre de Bruxelles, Belgium

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A tool for automatic robot placement in swarm robotics experiments (in French)

Mattia

Mattia Salvaro

2013 - 2014

Visiting MSc Student

Universtá di Bologna, Italy

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Virtual sensors for a robot swarm

Jacopo

Jacopo De Stefani

2012 - 2013

Master Student

Université Libre de Bruxelles and Politecnico di Milano (Project TIME for double degree)

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Spatial Allocation in Swarm Robotics

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Andreagiovanni Reina - Research Group Leader - Centre for the Advanced Study of Collective Behaviour, Konstanz, Germany