83 citations · 179 across the 21 of their papers we have counts for
22 papers
Stochastic Filtering for Quorum Sensing in Robot Swarms under Anonymous Communication
Fabio Oddi, Andreagiovanni Reina, Vito Trianni
Quorum Sensing (QS) is a key capability for robot swarms, useful for coordination of activities at the group level. Effective communication is instrumental for individuals to estim…
Speed-Weighted Flocking for Sailing Swarms under Dynamic Environmental Forcing
Pranav Kedia, Aaron Gan, Hannah J. Williams +2
Collective behavior models, such as aggregation and flocking, usually assume self-propelled robots that can directly execute their desired speed and direction of motion without fun…
Bimodal Synchronization Performance: Why Noise and Sparse Connectivity Can Improve Collective Timing
Till Aust, Tianfu Zhang, Andreagiovanni Reina +1
Pulse-coupled oscillator models inspired by firefly synchronization are widely used to study decentralized time coordination in distributed systems. We analyze a discrete-time, dis…
Multi-robot obstacle-aware shepherding of non-cohesive target agents
Cinzia Tomaselli, Stefano Covone, Andreagiovanni Reina +1
This paper presents a novel control strategy for multi-agent shepherding of non-cohesive targets in obstacle-rich environments. Unlike previous approaches that assume cohesive floc…
Optimal Scalability-Aware Allocation of Swarm Robots: From Linear to Retrograde Performance via Marginal Gains
Simay Atasoy Bingöl, Tobias Töpfer, Sven Kosub +2
In collective systems, the available agents are a limited resource that must be allocated among tasks to maximize collective performance. Computing the optimal allocation of severa…
Swarm Oracle: Trustless Blockchain Agreements through Robot Swarms
Alexandre Pacheco, Hanqing Zhao, Volker Strobel +4
Blockchain consensus, rooted in the principle ``don't trust, verify'', limits access to real-world data, which may be ambiguous or inaccessible to some participants. Oracles addres…
Bio-inspired decision making in robot swarms under biases
Raina Zakir, Timoteo Carletti, Marco Dorigo +1
Minimalistic robot swarms offer a scalable, robust, and cost-effective approach to performing complex tasks with the potential to transform applications in healthcare, disaster res…
Securing Federated Learning in Robot Swarms using Blockchain Technology
Alexandre Pacheco, Sébastien De Vos, Andreagiovanni Reina +2
Federated learning is a new approach to distributed machine learning that offers potential advantages such as reducing communication requirements and distributing the costs of trai…
Toychain: A Simple Blockchain for Research in Swarm Robotics
Alexandre Pacheco, Ulysse Denis, Raina Zakir +3
This technical report describes the implementation of Toychain: a simple, lightweight blockchain implemented in Python, designed for ease of deployment and practicality in robotics…
Roadmap for Animate Matter
Giorgio Volpe, Nuno A. M. Araújo, Maria Guix +37
Humanity has long sought inspiration from nature to innovate materials and devices. As science advances, nature-inspired materials are becoming part of our lives. Animate materials…
On the role of zealots in a best-of-n problem on a heterogeneous network
Thierry Njougouo, Andreagiovanni Reina, Elio Tuci +1
Both humans and social animals live in groups and are frequently faced to choose between options with different qualities. When no leader agents are controlling the group decision,…
Studying speed-accuracy trade-offs in best-of-n collective decision-making through heterogeneous mean-field modeling
Andreagiovanni Reina, Thierry Njougouo, Elio Tuci +1
To succeed in their objectives, groups of individuals must be able to make quick and accurate collective decisions on the best option among a set of alternatives with different qua…
Do We Run Large-scale Multi-Robot Systems on the Edge? More Evidence for Two-Phase Performance in System Size Scaling
Jonas Kuckling, Robin Luckey, Viktor Avrutin +3
With increasing numbers of mobile robots arriving in real-world applications, more robots coexist in the same space, interact, and possibly collaborate. Methods to provide such sys…
Decentralised construction of a global coordinate system in a large swarm of minimalistic robots
Michal Pluhacek, Simon Garnier, Andreagiovanni Reina
Collective intelligence and autonomy of robot swarms can be improved by enabling the individual robots to become aware they are the constituent units of a larger whole and what is…
Cross-inhibition leads to group consensus despite the presence of strongly opinionated minorities and asocial behaviour
Andreagiovanni Reina, Raina Zakir, Giulia De Masi +1
Strongly opinionated minorities can have a dramatic impact on the opinion dynamics of a large population. Two factions of inflexible minorities, polarised into two competing opinio…
Controlling Robot Swarm Aggregation through a Minority of Informed Robots
Antoine Sion, Andreagiovanni Reina, Mauro Birattari +1
Self-organized aggregation is a well studied behavior in swarm robotics as it is the pre-condition for the development of more advanced group-level responses. In this paper, we inv…
Scalability in Computing and Robotics
Heiko Hamann, Andreagiovanni Reina
Efficient engineered systems require scalability. A scalable system has increasing performance with increasing system size. In an ideal case, the increase in performance (e.g., spe…
A memory and communication efficient algorithm for decentralized counting of nodes in networks
Arindam Saha, James A. R. Marshall, Andreagiovanni Reina
Node counting on a graph is subject to some fundamental theoretical limitations, yet a solution to such problems is necessary in many applications of graph theory to real-world sys…
Robots as Actors in a Film: No War, A Robot Story
Andreagiovanni Reina, Viktor Ioannou, Junjin Chen +3
Will the Third World War be fought by robots? This short film is a light-hearted comedy that aims to trigger an interesting discussion and reflexion on the terrifying killer-robot…
Emergent naming conventions in a foraging robot swarm
Roman Miletitch, Andreagiovanni Reina, Marco Dorigo +1
In this study, we investigate the emergence of naming conventions within a swarm of robots that collectively forage, that is, collect resources from multiple sources in the environ…
Model of the best-of-N nest-site selection process in honeybees
Andreagiovanni Reina, James A. R. Marshall, Vito Trianni +1
The ability of a honeybee swarm to select the best nest site plays a fundamental role in determining the future colony's fitness. To date, the nest-site selection process has mostl…
Emergence of Consensus in a Multi-Robot Network: from Abstract Models to Empirical Validation
Vito Trianni, Daniele De Simone, Andreagiovanni Reina +1
Consensus dynamics in decentralised multiagent systems are subject to intense studies, and several different models have been proposed and analysed. Among these, the naming game st…