A taxonomy for swarm robots

Dudek, Gregory; Jenkin, Michael; Milios, Evangelos; Wilkes, D.

doi:10.1109/iros.1993.583135

Cited by 99 publications

(57 citation statements)

References 6 publications

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“…Dudek et al (1993) chose swarm size, communication range, communication topology, communication bandwidth, swarm reconfigurability and swarm unit processing ability to classify the literature. Cao et al (1997) used: group architecture, resource conflicts, origins of cooperation, learning, and geometric problems.…”

Section: Previous Reviewsmentioning

confidence: 99%

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: Previous Reviewsmentioning

confidence: 99%

Swarm robotics: a review from the swarm engineering perspective

et al. 2013

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“…In our system, the agent state transition diagram is composed of two states: Lévy Jump and Datataxis, and the state transition is triggered when a certain event happens such as conflicts. Interested readers are referred to [23] for a taxonomy of cooperative robotics and [51] for a brief introduction to the current research topics in multi-robot systems.…”

Section: Bio-inspired Multi-agent Robotic Systemsmentioning

confidence: 99%

Bio-inspired multi-agent data harvesting in a proactive urban monitoring environment

Lee¹,

Magistretti

Gerla³

et al. 2009

Ad Hoc Networks

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“…From a general point of view, our work can be positioned in the area of swarm intelligence [3], particularly in the field of robotic intelligent swarms [4,5,1].…”

Section: Related Workmentioning

confidence: 99%

Maintaining Communication Between an Explorer and a Base Station

Dynia

Kutyłowski

Lorek

et al. 2006

IFIP International Federation for Information Processing

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Abstract. Consider a (robotic) explorer starting an exploration of an unknown terrain from its base station. As the explorer has only limited communication radius, it is necessary to maintain a line of robotic relay stations following the explorer, so that consecutive stations are within the communication radius of each other. This line has to start in the base station and to end at the explorer.In the simple scenario considered here we assume an obstacle-free terrain, so that the shortest connection (the one which needs the smallest number of relay stations) is a straight line. We consider an explorer who goes an arbitrary, typically winding way, and define a very simple, intuitive, fully local, distributed strategy for the relay stationsour GO-TO-THE-MIDDLE strategy -to maintain a line from the base station to the robot as short as possible.Besides the definition of this strategy, we present an analysis of its performance under different assumptions. For the static case we prove a bound on the convergence speed, for the dynamic case we present experimental evaluations that show the quality of our strategy under different types of routes the explorer could use.

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A taxonomy for swarm robots

Cited by 99 publications

References 6 publications

Swarm robotics: a review from the swarm engineering perspective

Swarm robotics: a review from the swarm engineering perspective

Bio-inspired multi-agent data harvesting in a proactive urban monitoring environment

Maintaining Communication Between an Explorer and a Base Station

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