Swarm robotics: a review from the swarm engineering perspective

M Brambilla, E Ferrante, M Birattari, M Dorigo - Swarm Intelligence, 2013 - Springer
Swarm robotics is an approach to collective robotics that takes inspiration from the self-
organized behaviors of social animals. Through simple rules and local interactions, swarm …

The Best-of-n Problem in Robot Swarms: Formalization, State of the Art, and Novel Perspectives

G Valentini, E Ferrante, M Dorigo - Frontiers in Robotics and AI, 2017 - frontiersin.org
The ability to collectively choose the best among a finite set of alternatives is a fundamental
cognitive skill for robot swarms. In this paper, we propose a formal definition of the best-of-n …

Majority-rule opinion dynamics with differential latency: a mechanism for self-organized collective decision-making

MA Montes de Oca, E Ferrante, A Scheidler… - Swarm Intelligence, 2011 - Springer
Collective decision-making is a process whereby the members of a group decide on a
course of action by consensus. In this paper, we propose a collective decision-making …

The -Unanimity Rule for Self-Organized Decision-Making in Swarms of Robots

A Scheidler, A Brutschy, E Ferrante… - IEEE transactions on …, 2015 - ieeexplore.ieee.org
In this paper, we propose a collective decision-making method for swarms of robots. The
method enables a robot swarm to select, from a set of possible actions, the one that has the …

Cooperative decision-making in decentralized multiple-robot systems: The best-of-n problem

CAC Parker, H Zhang - IEEE/ASME Transactions on …, 2009 - ieeexplore.ieee.org
Multiple-robot systems (MRS) that are decentrally organized have many benefits over
centralized systems. Decentralized systems are less affected by computational and …

Consensus decision-making in artificial swarms via entropy-based local negotiation and preference updating

C Zheng, K Lee - Swarm Intelligence, 2023 - Springer
This paper presents an entropy-based consensus algorithm for a swarm of artificial agents
with limited sensing, communication, and processing capabilities. Each agent is modeled as …

Relative localization and communication module for small-scale multi-robot systems

J Pugh, A Martinoli - … on Robotics and Automation, 2006. ICRA …, 2006 - ieeexplore.ieee.org
We characterize and improve an existing infrared relative localization/communication
module used to find range and bearing between robots in small-scale multi-robot systems …

The Effect of Collective Decision-Making on Productivity: A Structural Equation Modeling

SM Mirbagheri, AO Rafiei Atani, M Parsanejad - SAGE Open, 2023 - journals.sagepub.com
The purpose of this study is to examine the relationship between common rationality (as a
factor of convergence of employees and managers), collective decision-making (as one of …

On the potential contributions of hybrid intelligent approaches to multicomponent robotic system development

RJ Duro, M Graña, J de Lope - Information Sciences, 2010 - Elsevier
The area of cognitive or intelligent robotics is moving from the single monolithic robot control
and behavior problem to that of controlling robots with multiple components or multiple …

Human-collective collaborative target selection

JR Cody, KA Roundtree, JA Adams - ACM Transactions on Human …, 2021 - dl.acm.org
Robotic collectives are composed of hundreds or thousands of distributed robots using local
sensing and communication that encompass characteristics of biological spatial swarms …