Saez etal RISE08

Drones

A swarm of robots is the coordination of multiple robots that can perform a collective task and solve a problem more efficiently than a single robot. Over the last decade, this area of research has received significant interest from scientists due to its large field of applications in military or civil, including area exploration, target search and rescue, security and surveillance, agriculture, air defense, area coverage and real-time monitoring, providing wireless services, and delivery of goods. This research domain of collective behaviour draws inspiration from self-organizing systems in nature, such as honey bees, fish schools, social insects, bird flocks, and other social animals. By replicating the same set of interaction rules observed in these natural swarm systems, robot swarms can be created. The deployment of robot swarm or group of intelligent robots in a real-world scenario that can collectively perform a task or solve a problem is still a substantial research challeng...

Swarm robotics is a fast growing field of multi-robotics. In thisnumber of robots are coordinated in a distributed and uncentralised way. It is based on the use common rules, and simple robots compared to the nature of the task which is to achieve, this task may be complex.Swarm robotics is inspired by social insects. Large number of simple robots is able to perform complex tasks in a more efficient way than a single robot. This improves the efficiency and provides flexibility the group. In this article, an overview of swarm robotics is given, describing its main properties and characteristics and comparing it to general multi-robotic systems. A discussion of the future swarm robotics in real world applications completes this work.

The swarm robotics inspired from nature is a combination of swarm intelligence and robotics, which shows a great potential in several aspects. Swarm robotics is a relatively new and rapidly developing field which draws inspiration from swarm intelligence. It is an interesting alternative to classical approaches to robotics because of some properties of problem solving present in social insects, which is flexible, robust, decentralized and self-organized. Fire detection and extinguishment are the hazardous job that invariably put the life of a fire fighter in danger. By putting a robot to perform this task in a fire-prone area, it can aid to avoid annoying incidents or the loss of lives. This paper describes the development of Swarm Intelligence Fire Fighting Robot using (SIFFR) that is equipped with the basic fighting equipment that can round through the hazardous site via a guiding track with the aim of early detection for fire. When the fire source is being identified, the temperature will be promptly extinguished using the fire extinguishing system that is mounted on receiving robots platform. To detect for fire source, the input from temperature sensors were finely-tuned in relation to the surrounding area, external interference and the mobility of the SIFFR prior the deployment of the platform.

Swarm Intelligence, 2008

2006

Since we are simulating the I-SWARM scenario completely nothing is realnot the robots themselves, not the accelerations, and not the communication. However, we want to distinguish between the real world, like the robots that we are simulating, and totally virtual concepts that will exist later in the 4 CHAPTER 1

2006 IEEE Aerospace Conference, 2006

Multi-vehicle swarms offer the potential for increased performance and robustness in several key robotic and autonomous applications. Emergent swarm behavior demonstrated in biological systems show performance that far outstrips the abilities of the individual members. This paper discusses a lightweight formation control methodology using conservative potential functions to ensure group cohesion, yet requiring very modest communication and control requirements for each individual node. Previous efforts have demonstrated distributed methods to navigate a vehicle swarm through a complex obstacle environment while remaining computationally simple and having low bandwidth requirements. It is shown that arbitrary formation can be held and morphed within the lightweight framework. Simulations of the lightweight framework applied to realistic nonholonomic tricycle vehicles highlight the swarm's ability to form arbitrary formations from random initial vehicle distributions and formation morphing capabilities, as well as navigate complex obstacle fields while maintaining formation. The non-holonomic constraints are used to implement realistic controls.

22nd National Conference on Artificial …, 2007

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.

2007

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, flexibility and scalability. In this paper we have presented a preliminary taxonomy for swarm robotics and classified existing studies into this taxonomy after investigating the existing surveys related to swarm robotics literature. Our parent taxonomic units are modeling, behavior design, communication, analytical studies and problems. We are classifying existing studies into these main axes. Since existing reviews do not have enough number of studies reviewed or do have less numbers of or less appropriate categories, we believe that this review will be helpful for swarm robotics researchers.

Applied Sciences, 2019

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 [...]