Reactivity and Deliberation: A Survey on Multi-Robot Systems

Iocchi, Luca; Nardi, Daniele; Salerno, Massimiliano

doi:10.1007/3-540-44568-4_2

Cited by 103 publications

(69 citation statements)

References 43 publications

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“…In this review, we use these characteristics to discriminate the works that belong to swarm robotics from those that belong to other multi-robot approaches (Iocchi et al 2001). Slightly different characterizations of swarm robotics have been proposed and adopted byŞahin (2005), Beni (2005) and Dorigo andŞahin (2004).…”

Section: Ied Agents Can Be Designed Such That a Desired Collective Bementioning

confidence: 99%

“…Cao et al (1997) used: group architecture, resource conflicts, origins of cooperation, learning, and geometric problems. Iocchi et al (2001) adopted a hierarchical taxonomy: in the first level they considered aware versus unaware cooperation. The aware category is divided into strongly coordinated, weakly coordinated and not-coordinated systems.…”

Section: Previous Reviewsmentioning

confidence: 99%

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Swarm robotics: a review from the swarm engineering perspective

et al. 2013

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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 robotics aims at designing robust, scalable, and flexible collective behaviors for the coordination of large numbers of robots. In this paper, we analyze the literature from the point of view of swarm engineering: we focus mainly on ideas and concepts that contribute to the advancement of swarm robotics as an engineering field and that could be relevant to tackle real-world applications. Swarm engineering is an emerging discipline that aims at defining systematic and well founded procedures for modeling, designing, realizing, verifying, validating, operating, and maintaining a swarm robotics system. We propose two taxonomies: in the first taxonomy, we classify works that deal with design and analysis methods; in the second taxonomy, we classify works according to the collective behavior studied. We conclude with a discussion of the current limits of swarm robotics as an engineering discipline and with suggestions for future research directions.

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Section: Ied Agents Can Be Designed Such That a Desired Collective Bementioning

confidence: 99%

Section: Previous Reviewsmentioning

confidence: 99%

Swarm robotics: a review from the swarm engineering perspective

et al. 2013

View full text Add to dashboard Cite

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“…For example, some rules in traffic control problems include "keep right", "stop at intersection" and "keep sufficient space between yourself and the robot in front of you" [80]. Dynamic coordination (also known as reactive coordination [14] or online coordination [13]) occurs during the execution of a task, and is generally based on the analysis and synthesis of information. The information can be obtained through the means of communication.…”

Section: Coordination: Static Versus Dynamicmentioning

confidence: 99%

A Survey and Analysis of Multi-Robot Coordination

Yan

Jouandeau

Chérif

2013

International Journal of Advanced Robotic Systems

522

279

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In the field of mobile robotics, the study of multi-robot systems (MRSs) has grown significantly in size and importance in recent years. Having made great progress in the development of the basic problems concerning single-robot control, many researchers shifted their focus to the study of multi-robot coordination. This paper presents a systematic survey and analysis of the existing literature on coordination, especially in multiple mobile robot systems (MMRSs). A series of related problems have been reviewed, which include a communication mechanism, a planning strategy and a decision-making structure. A brief conclusion and further research perspectives are given at the end of the paper.

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“…Swarm Robotics is the study of how robots with limited capabilities with respect to a task or with simple individual behaviours can be designed so that they accomplish a task together as a collective through coordinating their behaviour, or exhibit a particular behaviour as a collective (Iocchi et al 2001;Dorigo and Sahin 2004;Winfield et. al.…”

Section: Background To the Fieldmentioning

confidence: 99%

Describing complex design practices with a cross-domain framework: learning from Synthetic Biology and Swarm Robotics

Chen

Crilly

2016

Res Eng Design

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This paper reports on the development of a cross-domain framework for describing complex design practices. The framework is grounded in studies of two different complex design fields: Synthetic Biology and Swarm Robotics. In the first study, we interviewed practitioners in Synthetic Biology, identifying three essential aspects of complex design problems and practices. The first of these aspects is the characterisation of system complexity, the second is the design objective taken with respect to this complexity, and the third is the design approach applied to realise this objective. In the second study, we interviewed designers in Swarm Robotics, confirming the domain generality of the three aspects identified in the first study and permitting a comparison to be made of how the two fields differ from each other in these aspects. Considered together, the two studies provide the basis for building a cross-domain framework for describing complex design practices. Such a framework is presented here, not to exhaust all possible descriptions of complex design practice but rather to provide a structured yet adaptable way of highlighting the important aspects of these descriptions. Indeed, each aspect of complex design can be can be broken down into different elements depending on the design contexts under consideration. Having such a framework enables designers to identify fundamental similarities and differences both between and within fields.

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Reactivity and Deliberation: A Survey on Multi-Robot Systems

Cited by 103 publications

References 43 publications

Swarm robotics: a review from the swarm engineering perspective

Swarm robotics: a review from the swarm engineering perspective

A Survey and Analysis of Multi-Robot Coordination

Describing complex design practices with a cross-domain framework: learning from Synthetic Biology and Swarm Robotics

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