In this paper, we propose two novel techniques, which successfully address several major problems in the field of particle swarm optimization (PSO) and promise a significant breakt...
Serkan Kiranyaz, Turker Ince, E. Alper Yildirim, M...
Swarms of microscopic organisms are well known in nature and have been shown to exhibit many unexpected collective behaviours. We model a swarm of artificial animats in a model wh...
Robot swarms provide a way for a number of simple robots to work together to carry out a task. While swarms have been found to be adaptable, fault-tolerant and widely applicable, d...
Abstract. In this work, we propose a method for self-organized adaptive task partitioning in a swarm of robots. Task partitioning refers to the decomposition of a task into less co...
Marco Frison, Nam-Luc Tran, Nadir Baiboun, Arne Br...
robotics, the agents are often assumed to be identical. In this abstract, we argue that the cooperation between swarms of different kinds of robots can enhance the capabilities of ...
Carlo Pinciroli, Rehan O'Grady, Anders Lyhne Chris...
We study self-organized cooperation in a heterogeneous robotic swarm consisting of two sub-swarms. The robots of each sub-swarm play distinct roles based on their different charac...
Frederick Ducatelle, Gianni A. Di Caro, Luca Maria...
We present information-theoretically secure schemes for sharing and modifying secrets among a dynamic swarm of computing devices. The schemes support an unlimited number of change...
Shlomi Dolev, Juan A. Garay, Niv Gilboa, Vladimir ...
Urban search and rescue is a difficult domain for autonomous mobile robots to operate in. The environment can be expected to be highly unstructured, with many obstacles and hazard...
In this paper we present the Behaviosite Paradigm, a new approach to coordination and control of distributed agents in a multiagent system, inspired by biological parasites with b...
Amit Shabtay, Zinovi Rabinovich, Jeffrey S. Rosens...