2006
DOI: 10.1002/acs.915
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Immune network control for stigmergy based foraging behaviour of autonomous mobile robots

Abstract: The paper presents a series of experiments in a simulated environment where two autonomous mobile robots gather randomly distributed objects and cluster them on a pile. The co-ordination of the robots' movements is achieved through stigmergy (an indirect form of communication through the environment). The random moves, necessary for stigmergy based foraging behaviour, make the task solution a time consuming process. In order to speed up the foraging behaviour, the immune network robot control is proposed. Stig… Show more

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Cited by 16 publications
(7 citation statements)
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References 32 publications
(61 reference statements)
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“…Here, Á.t/ is referred to as 'performance function'. The aforementioned concepts were originally presented in [20], which can be illustrated using Figures 3 and 4, where the parameters in performance bounds (15) are chosen as…”
Section: Remarkmentioning
confidence: 99%
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“…Here, Á.t/ is referred to as 'performance function'. The aforementioned concepts were originally presented in [20], which can be illustrated using Figures 3 and 4, where the parameters in performance bounds (15) are chosen as…”
Section: Remarkmentioning
confidence: 99%
“…In [10], adaptive tracking and stabilization problems were solved simultaneously. Other related works on control of nonholonomic mobile robots for stabilization and tracking include, but are not limited to, [11][12][13][14][15][16][17].…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…As a result, approaches that mimic some of their characteristics and mechanisms (e.g., stigmergy) have been exhaustively applied in robotics (e.g., Refs. ), task allocation or optimization and can also be adopted to implement autonomous systems. The following sections will present how some of these concepts and autonomous system paradigms have been applied to satellite missions and what are the necessary ingredients to ultimately achieve fully autonomous DSS.…”
Section: Autonomymentioning
confidence: 99%
“…Roboticists and others use immune analogies in the design of many self-organising behaviours (e.g. learning [42] and foraging [40]). Of particular relevance here is work on fault tolerance and problem solving: the focus of, for example, the SYMBRION project (www.symbrion.eu).…”
Section: Adapting To Change: Using Immune Inspirationmentioning
confidence: 99%