Swarm Robotics: Collective Behavior Inspired by Nature
نویسنده
چکیده
Swarm robotics is a new approach to the coordination of multirobot systems which consist of a number of simple physical robots [1]. It is supposed that a desired collective behavior emerges from the interaction between the robots and the interaction of robots with the environment. This approach emerged in the field of artificial swarm intelligence as well as the biological study of insects, ants and other fields in the nature, where a swarm behavior occurs. The aim of researches of swarm robotics is to study the design of large amount of relatively simple robots, their physical bodies and their controlling behaviors. The individuals in the swarm are normally simple, small and low cost so as to take the advantage of a large population. A key component of the system is the communication between the agents in the group which is generally local and no center, and guarantees the system is scalable and robust.
منابع مشابه
Imitation of Honeybee Aggregation with Collective Behavior of Swarm Robots
This paper analyzes the collective behaviors of swarm robots that play role in the aggregation scenario. Honeybee aggregation is an inspired behavior of young honeybees which tend to aggregate around an optimal zone. This aggregation is implemented based on variation of parameters values. In the second phase, two modifications on original honeybee aggregation namely dynamic velocity and compara...
متن کاملGuest Editorial: Special Issue on Nature Inspired Cooperative Strategies for Optimization (Part I)
Nature is an unlimited source of resilient, robust, fine tuned, complex mechanisms and phenomena which have been the subject of exploration and exploitation in science and engineering. In particular, understanding complex cooperative systems in nature has driven computer scientists and practitioners to outstanding developments ranging from versatile models and architectures to highly effective ...
متن کاملA Navigation Algorithm for Swarm Robotics Inspired by Slime Mold Aggregation
This article presents a novel bio-inspired navigation principle for swarm robotics that is based on a technique of signal propagation that was inspired by slime mold. We evaluated this strategy in a variety of simulation experiments that simulates a collective cleaning scenario. This scenario includes several sub-tasks like exploration, information propagation and path finding. Using the slime ...
متن کاملBio-Inspired Coverage of Invisible Hazardous Substances in the Environment
Inspired by the simplicity of how nature solves its problems, a controller based upon the bacteria chemotaxis behavior and flocking of starlings in nature is developed and presented. It would enable the localization and subsequent mapping of pollutants in the environment. The pollutants could range from chemical leaks to invisible air borne hazardous materials. Simulation is used to explore the...
متن کاملLimited bandwidth recognition of collective behaviors in bio-inspired swarms
Models of swarming and modes of controlling them are numerous; however, to date swarm researchers have mostly ignored a fundamental problem that impedes scalable human interaction with large bio-inspired robot swarms, namely, how do you know what the swarm is doing if you can’t observe every agent in the collective? Some swarm models exhibit multiple emergent behaviors from the same parameters....
متن کامل