Evolving aggregation behaviors in a Swarm of robots

Date

2003-01-01

Author

Trianni, Vito
Groß, Roderich
Labella, Thomas H.
Şahin, Erol
Dorigo, Marco

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https://hdl.handle.net/11511/81764

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Evolving aggregation behaviors in a swarm of robots Trianni, V; Gross, R; Labella, TH; Şahin, Erol; Dorigo, M (2003-01-01) In this paper, we study aggregation in a swarm of simple robots, called s-bots, having the capability to self-organize and self-assemble to form a robotic system, called a swarm-bot. The aggregation process, observed in many biological systems, is of fundamental importance since it is the prerequisite for other forms of cooperation that involve self-organization and self-assembling. We consider the problem of defining the control system for the swarm-bot using artificial evolution. The results obtained in a...
Evolving aggregation behaviors for swarm robotic systems: A systematic case study Bahceci, E; Şahin, Erol (2005-06-10) When one attempts to use artificial evolution to develop behaviors for a swarm robotic system, he is faced with decisions to be made regarding the parameters of the evolution. In this paper, aggregation behavior is chosen as a case, where performance and scalability of aggregation behaviors of perceptron controllers that are evolved for a simulated swarm robotic system are systematically studied with different parameter settings. Four experiments are conducted varying some of the parameters, and rules of th...
Evolving aggregation behaviors for swarm robotics systems: a systematic case study Bahçeci, Erkin; Şahin, Erol; Department of Computer Engineering (2005) Evolutionary methods are shown to be useful in developing behaviors in robotics. Interest in the use of evolution in swarm robotics is also on the rise. However, when one attempts to use artificial evolution to develop behaviors for a swarm robotic system, he is faced with decisions to be made regarding some parameters of fitness evaluations and of the genetic algorithm. In this thesis, aggregation behavior is chosen as a case, where performance and scalability of aggregation behaviors of perceptron control...
Evolving Aggregation Behavior for Robot Swarms: A Cost Analysis for Distinct Fitness Functions Yalcin, Cagri (2008-10-29) Evolving behaviors for swarm robotic systems offers interesting emerged strategies which may be complex and unpredictable by an explicit behavioral controller design. However, even in the evolutionary case, there are critical choices regarding the design of the evolutionary algorithm that a roboticist should take into account to achieve desired goal with a reasonable efficiency. Among these design choices, adopting an appropriate fitness function is a crucial task, since it directly affects the resulting ev...
Evolving a hierarchical decision making mechanism using fuzzy logic Beldek, Ulas; Leblebicioğlu, Mehmet Kemal (2008-12-01) In this study, a new hierarchical decision-making and decision-fusion mechanism is introduced for solving decision making problems in a consistent manner. This mechanism is constructed by using a genetic algorithm. The proposed mechanism employs fuzzy logic and a performance index determined based on the performance of decision-making agents at successive hierarchical levels. The mechanism is such that the decisions in previous levels are influential on the current level decisions according to the performan...

Citation Formats

V. Trianni, R. Groß, T. H. Labella, E. Şahin, and M. Dorigo, “Evolving aggregation behaviors in a Swarm of robots,” 2003, Accessed: 00, 2021. [Online]. Available: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=7444252985&origin=inward.