Andreagiovanni Reina

About

Andreagiovanni Reina is a prominent researcher in swarm robotics and collective intelligence, whose work bridges theoretical modeling and experimental validation to advance our understanding of how simple agents can collectively solve complex problems. His research spans collective decision-making, swarm foraging, and automatic design of robot control software, with particular emphasis on drawing inspiration from biological systems such as honeybee colonies and social insects. Among his most influential contributions is his work demonstrating that constrained communication can paradoxically improve a swarm's adaptability to dynamic environments (118 citations), challenging intuitive assumptions about information sharing in multi-robot systems. His development of ARK (Augmented Reality for Kilobots, 73 citations) has provided researchers worldwide with a powerful experimental platform, while his AutoMoDe-Chocolate framework (94 citations) has advanced automated design methodologies for swarm control software. His foundational work on collective decision-making (85 citations) and micro-macro modeling links (58 citations) has helped establish rigorous quantitative connections between individual robot behavior and emergent swarm-level dynamics. With over 650 cumulative citations across his top works, Reina has made substantial contributions to both the theoretical foundations and practical implementation of swarm robotics, making his research essential reading for anyone exploring collective artificial intelligence.

Research Focus

Key Achievements

Top Papers

1. 1
   When less is more: Robot swarms adapt better to changes with constrained communication

   118 citations · 2021
2. 2
   AutoMoDe-Chocolate: automatic design of control software for robot swarms

   94 citations · 2015
3. 3
   Collective decision-making

   85 citations · 2017
4. 4
   ARK: Augmented Reality for Kilobots

   73 citations · 2017
5. 5
   Sophisticated collective foraging with minimalist agents: a swarm robotics test

   65 citations · 2019
6. 6
   A quantitative micro–macro link for collective decisions: the shortest path discovery/selection example

   58 citations · 2015
7. 7
   Quality-Sensitive Foraging by a Robot Swarm Through Virtual Pheromone Trails

   46 citations · 2018
8. 8
   Emergence of Consensus in a Multi-Robot Network: From Abstract Models to Empirical Validation

   45 citations · 2016
9. 9
   Simulating Kilobots Within ARGoS: Models and Experimental Validation

   34 citations · 2018
10. 10
    Effects of Spatiality on Value-Sensitive Decisions Made by Robot Swarms

    33 citations · 2018

Key Collaborators

Contact & Links