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ORCIDAndreagiovanni Reina
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2020 – today
- 2024
[c27]Angelo Moroncelli
, Alexandre Pacheco, Volker Strobel, Pierre-Yves Lajoie, Marco Dorigo, Andreagiovanni Reina:
Byzantine Fault Detection in Swarm-SLAM Using Blockchain and Geometric Constraints. ANTS 2024: 42-56- [c26]Raina Zakir, Mohammad Salahshour, Marco Dorigo, Andreagiovanni Reina:
Heterogeneity Can Enhance the Adaptivity of Robot Swarms to Dynamic Environments. ANTS 2024: 112-126 - [c25]Swadhin Agrawal, Jitesh Jhawar, Andreagiovanni Reina, Sujit P. Baliyarasimhuni, Heiko Hamann, Liang Li:
Impact of Individual Defection on Collective Motion. ANTS 2024: 127-140 - [c24]Fabio Oddi, Andreagiovanni Reina, Vito Trianni:
Minimalist Protocols for Quorum Sensing in Robot Swarms. ANTS 2024: 141-154 - [c23]Nemanja Antonic, Raina Zakir, Marco Dorigo, Andreagiovanni Reina:
Collective Robustness of Heterogeneous Decision-Makers Against Stubborn Individuals. AAMAS 2024: 68-77 - [c22]Jonas Kuckling, Robin Luckey, Viktor Avrutin, Andrew Vardy, Andreagiovanni Reina, Heiko Hamann:
Do We Run Large-scale Multi-Robot Systems on the Edge? More Evidence for Two-Phase Performance in System Size Scaling. ICRA 2024: 4562-4568 - [e2]Heiko Hamann, Marco Dorigo, Leslie Pérez Cáceres, Andreagiovanni Reina, Jonas Kuckling, Tanja Katharina Kaiser, Mohammad Divband Soorati, Ken Hasselmann, Eduard Buss:
Swarm Intelligence - 14th International Conference, ANTS 2024, Konstanz, Germany, October 9-11, 2024, Proceedings. Lecture Notes in Computer Science 14987, Springer 2024, ISBN 978-3-031-70931-9 [contents] - [i12]Alexandre Pacheco, Ulysse Denis, Raina Zakir, Volker Strobel, Andreagiovanni Reina, Marco Dorigo:
Toychain: A Simple Blockchain for Research in Swarm Robotics. CoRR abs/2407.06630 (2024) - [i11]Alexandre Pacheco, Sébastien De Vos, Andreagiovanni Reina, Marco Dorigo, Volker Strobel:
Securing Federated Learning in Robot Swarms using Blockchain Technology. CoRR abs/2409.01900 (2024) - 2023
- [j16]Luigi Feola, Andreagiovanni Reina, Mohamed S. Talamali, Vito Trianni:
Multi-Swarm Interaction Through Augmented Reality for Kilobots. IEEE Robotics Autom. Lett. 8(11): 6907-6914 (2023) - [c21]Luigi Feola, Antoine Sion, Vito Trianni, Andreagiovanni Reina, Elio Tuci:
Aggregation Through Adaptive Random Walks in a Minimalist Robot Swarm. GECCO 2023: 21-29 - [c20]Hanqing Zhao, Alexandre Pacheco, Volker Strobel, Andreagiovanni Reina, Xue Liu, Gregory Dudek, Marco Dorigo:
A Generic Framework for Byzantine-Tolerant Consensus Achievement in Robot Swarms. IROS 2023: 8839-8846 - [c19]Thierry Njougouo, Timoteo Carletti, Andreagiovanni Reina, Elio Tuci:
Heterogeneous Mean-Field Analysis of Best-of-n Decision Making in Networks with Zealots. WIVACE 2023: 339-351 - [i10]Michal Pluhacek, Simon Garnier, Andreagiovanni Reina:
Decentralised construction of a global coordinate system in a large swarm of minimalistic robots. CoRR abs/2302.14587 (2023) - [i9]Jonas Kuckling, Robin Luckey, Viktor Avrutin, Andrew Vardy, Andreagiovanni Reina, Heiko Hamann:
Do We Run Large-scale Multi-Robot Systems on the Edge? More Evidence for Two-Phase Performance in System Size Scaling. CoRR abs/2310.11843 (2023) - [i8]Andreagiovanni Reina, Thierry Njougouo, Elio Tuci, Timoteo Carletti:
Studying speed-accuracy trade-offs in best-of-n collective decision-making through heterogeneous mean-field modelling. CoRR abs/2310.13694 (2023) - 2022
- [j15]Andreagiovanni Reina, James A. R. Marshall:
Negative feedback may suppress variation to improve collective foraging performance. PLoS Comput. Biol. 18(5) (2022) - [j14]James A. R. Marshall, Andreagiovanni Reina, Célia Hay, Audrey Dussutour, Angelo Pirrone:
Magnitude-sensitive reaction times reveal non-linear time costs in multi-alternative decision-making. PLoS Comput. Biol. 18(10): 1010523 (2022) - [j13]Roman Miletitch, Andreagiovanni Reina, Marco Dorigo, Vito Trianni:
Emergent naming conventions in a foraging robot swarm. Swarm Intell. 16(3): 211-232 (2022) - [j12]Heiko Hamann, Andreagiovanni Reina:
Scalability in Computing and Robotics. IEEE Trans. Computers 71(6): 1453-1465 (2022) - [c18]Antoine Sion, Andreagiovanni Reina, Mauro Birattari, Elio Tuci:
Controlling Robot Swarm Aggregation Through a Minority of Informed Robots. ANTS Conference 2022: 91-103 - [c17]Alexandre Pacheco, Volker Strobel, Andreagiovanni Reina, Marco Dorigo:
Real-Time Coordination of a Foraging Robot Swarm Using Blockchain Smart Contracts. ANTS Conference 2022: 196-208 - [c16]Raina Zakir, Marco Dorigo, Andreagiovanni Reina:
Robot Swarms Break Decision Deadlocks in Collective Perception Through Cross-Inhibition. ANTS Conference 2022: 209-221 - [c15]Till Aust, Mohamed S. Talamali, Marco Dorigo, Heiko Hamann, Andreagiovanni Reina:
The Hidden Benefits of Limited Communication and Slow Sensing in Collective Monitoring of Dynamic Environments. ANTS Conference 2022: 234-247 - [c14]Swadhin Agrawal, Sujit P. Baliyarasimhuni, Andreagiovanni Reina:
Response Threshold Distributions to Improve Best-of-N Decisions in Minimalistic Robot Swarms. ANTS Conference 2022: 350-359 - [c13]Antoine Sion, Andreagiovanni Reina, Mauro Birattari, Elio Tuci:
Impact of the Update Time on the Aggregation of Robotic Swarms Through Informed Robots. SAB 2022: 193-204 - [d1]Heiko Hamann, Andreagiovanni Reina:
Scalability in Computing and Robotics - fitting data. IEEE DataPort, 2022
- [i7]Antoine Sion, Andreagiovanni Reina, Mauro Birattari, Elio Tuci:
Controlling Robot Swarm Aggregation through a Minority of Informed Robots. CoRR abs/2205.03192 (2022) - [i6]Andreagiovanni Reina, Raina Zakir, Giulia De Masi, Eliseo Ferrante:
Cross-inhibition leads to group consensus despite the presence of strongly opinionated minorities and asocial behaviour. CoRR abs/2211.09531 (2022) - 2021
- [j11]Mohamed S. Talamali, Arindam Saha, James A. R. Marshall, Andreagiovanni Reina:
When less is more: Robot swarms adapt better to changes with constrained communication. Sci. Robotics 6(56): 1416 (2021) - [j10]Andreagiovanni Reina, Eliseo Ferrante, Gabriele Valentini:
Collective decision-making in living and artificial systems: editorial. Swarm Intell. 15(1-2): 1-6 (2021) - 2020
- [j9]Andreagiovanni Reina:
Robot teams stay safe with blockchains. Nat. Mach. Intell. 2(5): 240-241 (2020) - [j8]Mohamed S. Talamali, Thomas Bose, Matthew Haire, Xu Xu, James A. R. Marshall, Andreagiovanni Reina:
Sophisticated collective foraging with minimalist agents: a swarm robotics test. Swarm Intell. 14(1): 25-56 (2020) - [c12]Heiko Hamann, Till Aust, Andreagiovanni Reina:
Guerrilla Performance Analysis for Robot Swarms: Degrees of Collaboration and Chains of Interference Events. ANTS Conference 2020: 134-147 - [i5]Heiko Hamann, Andreagiovanni Reina:
Scalability in Computing and Robotics. CoRR abs/2006.04969 (2020)
2010 – 2019
- 2019
- [j7]Thomas Bose, Andreagiovanni Reina, James A. R. Marshall:
Inhibition and Excitation Shape Activity Selection: Effect of Oscillations in a Decision-Making Circuit. Neural Comput. 31(5): 870-896 (2019) - [j6]Marco Dorigo, Mauro Birattari, Christian Blum, Anders Lyhne Christensen, Andreagiovanni Reina, Vito Trianni:
ANTS 2018 special issue: Editorial. Swarm Intell. 13(3-4): 169-172 (2019) - [j5]Ilja Rausch, Andreagiovanni Reina, Pieter Simoens, Yara Khaluf:
Coherent collective behaviour emerging from decentralised balancing of social feedback and noise. Swarm Intell. 13(3-4): 321-345 (2019) - [c11]Mohamed S. Talamali, James A. R. Marshall, Thomas Bose, Andreagiovanni Reina:
Improving collective decision accuracy via time-varying cross-inhibition. ICRA 2019: 9652-9659 - [c10]Federico Pratissoli, Andreagiovanni Reina, Yuri Kaszubowski Lopes, Lorenzo Sabattini, Roderich Groß:
A Soft-Bodied Modular Reconfigurable Robotic System Composed of Interconnected Kilobots. MRS 2019: 50-52 - [i4]Roman Miletitch, Andreagiovanni Reina, Marco Dorigo, Vito Trianni:
Emergent naming of resources in a foraging robot swarm. CoRR abs/1910.02274 (2019) - [i3]Andreagiovanni Reina, Viktor Ioannou, Junjin Chen, Lu Lu, Charles Kent, James A. R. Marshall:
Robots as Actors in a Film: No War, A Robot Story. CoRR abs/1910.12294 (2019) - [i2]Arindam Saha, James A. R. Marshall, Andreagiovanni Reina:
A decentralized algorithm for network node counting. CoRR abs/1912.06802 (2019) - 2018
- [c9]Anna Font Llenas, Mohamed S. Talamali, Xu Xu, James A. R. Marshall, Andreagiovanni Reina:
Quality-Sensitive Foraging by a Robot Swarm Through Virtual Pheromone Trails. ANTS Conference 2018: 135-149 - [c8]Carlo Pinciroli, Mohamed S. Talamali, Andreagiovanni Reina, James A. R. Marshall, Vito Trianni:
Simulating Kilobots Within ARGoS: Models and Experimental Validation. ANTS Conference 2018: 176-187 - [e1]Marco Dorigo, Mauro Birattari, Christian Blum, Anders Lyhne Christensen, Andreagiovanni Reina, Vito Trianni:
Swarm Intelligence - 11th International Conference, ANTS 2018, Rome, Italy, October 29-31, 2018, Proceedings. Lecture Notes in Computer Science 11172, Springer 2018, ISBN 978-3-030-00532-0 [contents] - 2017
- [j4]Andreagiovanni Reina, Alex J. Cope, Eleftherios Nikolaidis, James A. R. Marshall, Chelsea Sabo:
ARK: Augmented Reality for Kilobots. IEEE Robotics Autom. Lett. 2(3): 1755-1761 (2017) - [c7]Yara Khaluf, Christine Markarian, Pieter Simoens, Andreagiovanni Reina:
Scheduling Access to Shared Space in Multi-robot Systems. PAAMS 2017: 144-156 - 2016
- [j3]Vito Trianni, Daniele De Simone, Andreagiovanni Reina, Andrea Baronchelli:
Emergence of Consensus in a Multi-Robot Network: From Abstract Models to Empirical Validation. IEEE Robotics Autom. Lett. 1(1): 348-353 (2016) - [c6]Andreagiovanni Reina, Thomas Bose, Vito Trianni, James A. R. Marshall:
Effects of Spatiality on Value-Sensitive Decisions Made by Robot Swarms. DARS 2016: 461-473 - [i1]Vito Trianni, Daniele De Simone, Andreagiovanni Reina, Andrea Baronchelli:
Emergence of Consensus in a Multi-Robot Network: from Abstract Models to Empirical Validation. CoRR abs/1601.04952 (2016) - 2015
- [j2]Andreagiovanni Reina, Roman Miletitch, Marco Dorigo, Vito Trianni:
A quantitative micro-macro link for collective decisions: the shortest path discovery/selection example. Swarm Intell. 9(2-3): 75-102 (2015) - [j1]Gianpiero Francesca, Manuele Brambilla, Arne Brutschy, Lorenzo Garattoni, Roman Miletitch, Gaëtan Podevijn, Andreagiovanni Reina, Touraj Soleymani, Mattia Salvaro, Carlo Pinciroli, Franco Mascia, Vito Trianni, Mauro Birattari:
AutoMoDe-Chocolate: automatic design of control software for robot swarms. Swarm Intell. 9(2-3): 125-152 (2015) - [c5]Andreagiovanni Reina, Mattia Salvaro, Gianpiero Francesca, Lorenzo Garattoni, Carlo Pinciroli, Marco Dorigo, Mauro Birattari:
Augmented reality for robots: Virtual sensing technology applied to a swarm of e-pucks. AHS 2015: 1-6 - 2014
- [c4]Gianpiero Francesca, Manuele Brambilla, Arne Brutschy, Lorenzo Garattoni, Roman Miletitch, Gaëtan Podevijn, Andreagiovanni Reina, Touraj Soleymani, Mattia Salvaro, Carlo Pinciroli, Vito Trianni, Mauro Birattari:
An Experiment in Automatic Design of Robot Swarms - AutoMoDe-Vanilla, EvoStick, and Human Experts. ANTS Conference 2014: 25-37 - [c3]Andreagiovanni Reina, Marco Dorigo, Vito Trianni:
Towards a Cognitive Design Pattern for Collective Decision-Making. ANTS Conference 2014: 194-205 - [c2]Andreagiovanni Reina, Marco Dorigo, Vito Trianni:
Collective decision making in distributed systems inspired by honeybees behaviour. AAMAS 2014: 1421-1422 - 2011
- [c1]Andreagiovanni Reina, Gianni A. Di Caro, Frederick Ducatelle, Luca Maria Gambardella:
Distributed Motion Planning for Ground Objects Using a Network of Robotic Ceiling Cameras. TAROS 2011: 137-148
Coauthor Index
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last updated on 2024-10-07 22:15 CEST by the dblp team
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