Achieving Consensus in Robot Swarms by Gabriele Valentini

By Gabriele Valentini

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Magdalena, M. Dorigo, Collective decisionmaking based on social odometry. Neural Comput. Appl. 19(6), 807–823 (2010) H. Hamann, Space-time continuous models of swarm robotic systems: Supporting global-to-local programming, vol. 9, Cognitive Systems Monographs (Springer, Berlin, 2010) H. Hamann, Towards swarm calculus: urn models of collective decisions and universal properties of swarm performance. Swarm Intell. 7(2–3), 145–172 (2013) H. Hamann, H. Wörn, A framework of space-time continuous models for algorithm design in swarm robotics.

Crailsheim, Get in touch: cooperative decision making based on robot-to-robot collisions. Auton. Agents Multi-Agent Syst. D. K. Visscher, T. M. R. R. Marshall, Stop signals provide cross inhibition in collective decision-making by honeybee swarms. Science 335(6064), 108–111 (2012) O. Soysal, E. Sahin, ¸ A macroscopic model for self-organized aggregation in swarm robotic systems, ed. By E. M. T. Winfield. Swarm Robotics, vol. 4433. LNCS (Springer, 2007), pp. M. F. C. Hamann, R. Heil, Distributed, physics-based control of swarms of vehicles.

2009), Brambilla et al. (2014) iv. Hamann et al. (2012), Hamann (2013) v. Francesca et al. (2012, 2014) i. Hamann (2010); Hamann and Wörn (2008); Schmickl and Crailsheim (2006, 2008); Schmickl et al. (2007) ii. Campo et al. (2010b) iii. Massink et al. (2013); Montes de Oca et al. (2011); Scheidler (2011) iv. Brutschy et al. (2012); Scheidler et al. (2016) v. Reina et al. (2014, 2015a) i. Parker and Zhang (2009, 2010, 2011) ii. Mermoud et al. (2010, 2014) i. Garnier et al. (2009) ii. Schmickl et al.

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