Swarm Robotics: A Perspective on the Latest Reviewed Concepts and Applications (original) (raw)
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SUMMARY We present a review of recent activities in swarm robotic research, and analyse existing literature in the field to determine how to get closer to a practical swarm robotic system for real world applications. We begin with a discussion of the importance of swarm robotics by illustrating the wide applicability of robot swarms in various tasks. Then a brief overview of various robotic devices that can be incorporated into swarm robotic systems is presented.
Editorial: Special Issue “Swarm Robotics”
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Swarm robotics is the study of how to coordinate large groups of relatively simple robots through the use of local rules so that a desired collective behavior emerges from their interaction [...]
A Review on Swarm Robotics: From Concept to Development
Swarm Intelligence (SI) is the collective behaviour of decentralized, self-organized systems inspired from natural biological systems such as ant colonies, bird flocking, animal herding, bacterial growth, and fish schooling. Swarm Robotics (SR) is an emerging application of swarm principles to robots, it is the study of how to design groups of homogeneous, small and cheap robots that mimicking insects and animals and acts together for robust, scalable and flexible swarm robotic systems. Swarm robots operate without depending upon any external control and infrastructure, the behaviour of robots depends on interactions between robots and between the robots and the environment in which they act. Swarm Robotics has effectively applied in tasks that are risky and difficult for human being or single robot. This Paper is a review of swarm robotics from origin to its future. It contains discussion on introduction to swarm robotics, design of robot swarm, design of robotics collective behaviours, and interaction mechanism and future of swarm robotics.
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Swarm robotics is a new approach to the coordination of large numbers of relatively simple robots. The approach takes its inspiration from the system-level functioning of social insects which demonstrate three desired characteristics for multi-robot systems: robustness, ...
A review of swarm robotics tasks
Swarm intelligence principles have been widely studied and applied to a number of different tasks where a group of autonomous robots is used to solve a problem with a distributed approach, i.e. without central coordination. A survey of such tasks is presented, illustrating various algorithms that have been used to tackle the challenges imposed by each task. Aggregation, flocking, foraging, object clustering and sorting, navigation, path formation, deployment, collaborative manipulation and task allocation problems are described in detail, and a high-level overview is provided for other swarm robotics tasks. For each of the main tasks, (1) swarm design methods are identified, (2) past works are divided in taskspecific categories, and (3) mathematical models and performance metrics are described. Consistently with the swarm intelligence paradigm, the main focus is on studies characterized by distributed control, simplicity of individual robots and locality of sensing and communication. Distributed algorithms are shown to bring cooperation between agents, obtained in various forms and often without explicitly programming a cooperative behavior in the single robot controllers. Offline and online learning approaches are described, and some examples of past works utilizing these approaches are reviewed.
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The swarm robotics inspired from nature is a combination of swarm intelligence and robotics, which shows a great potential in several aspects. It is important to study swarm robotics system because it has desirable properties unlikely to be found in other systems, for example they scale very well; there is no single point of failure, making swarm systems very robust and well suited in operating in safety critical situations. As research progresses in robot system, more and more aspects are explored in multi robot system. This paper describes advances in multi robot system and discusses the current state of art. The focus is principally on the research that has been demonstrated in various entity projects.
An overview of swarm robotics: Swarm intelligence applied to Multi-robotics
As an emergent research area by which swarm intelligence is applied to multi-robot systems; swarm robotics, which is a very particular and peculiar sub-area of collective robotics, studies how to coordinate large groups of relatively simple robots through the use of local rules. It focuses on studying the design of large amount of relatively simple robots, their physical bodies and their controlling behaviors. Since its introduction in 2000, several successful experimentations had been realized, and till now more projects are under investigations. This paper seeks to give an overview of this domain research; for the aim to orientate the readers, especially those who are newly coming to this research field.
The Application of Swarm Intelligence to Collective Robots
Advances in Applied Artificial Intelligence, 2006
This chapter considers the application of swarm intelligence principles to collective robotics. Our aim is to identify the reasons for the growing interest in the intersection of these two areas, and to evaluate the progress that has been made to date. In the course of this chapter, we will discuss the implications of taking a swarm intelligent approach, and review recent research and applications. The area of "swarm robotics" offers considerable promise for practical application, although it is still in its infancy, and many of the tasks that have been achieved are better described as "proof-of-concept" examples, rather than full-blown applications. In the first part of the chapter, we will examine what taking a swarm intelligence approach to robotics implies, and outline its expected benefits. We shall then proceed to review recent swarm robotic applications, before concluding with a case study application of predator-prey robotics that illustrates some of the potential of the approach.