Swarm intelligence is the discipline that deals with natural and artificial systems composed of many individuals that coordinate using decentralized control and self-organization. In particular, the discipline focuses on the collective behaviors that result from the local interactions of the individuals with each other and with their environment. Examples of systems studied by swarm intelligenc...

In recent years, many researchers are involved in the field of fuzzy theory. However, there are still a lot of issues to be resolved. Especially on topics related to controller design such as the field of robot, artificial intelligence, and nonlinear systems etc. Besides fuzzy theory, algorithms in swarm intelligence are also a popular field for the researchers. In this paper, a concept of util...

We study how a swarm of ground-based robots, with no knowledge of the environment, can be guided to destination by a group of aerial robots. We show that if the ground-based robots maintain group cohesion, it is possible to create a closed-loop among aerial robots and ground-based robots that results in robust navigation even in presence of high sensory noise. We validate our results through ex...

This paper addresses a vision based solution to collaborative multi-agent system for autonomous mobile robots. Each agent in the swarm is designed based on two different behavioural architectures, allowing them to overcome navigation problem in partly cluttered environment. A simple but efficient communication topology has been applied to the robot agents so as to run them in a swarm methodolog...

This paper describes a distributed algorithm for solving the shortest path problem with a swarm of JASMINE micro-robots. Each robot is only connected via infra-red communication with its neighbours. Based on local information exchange and some simple rules the swarm manages to find the shortest path (shortest path in the number of robots on the path) in a labyrinth with dead-ends and cycles. Th...

Swarm intelligence is the discipline that deals with natural and artificial systems composed of many individuals that coordinate using decentralized control and selforganization. In particular, the discipline focuses on the collective behaviors that result from the local interactions of the individuals with each other and with their environment. Examples of systems studied by swarm intelligence...

Nowadays mobile robots are being used in various fields of academic research as well as real applications. Semiautonomous space exploration and underwater exploration are two applications of mobile robots. They are also being used in rescue process e.g. in semi-destroyed buildings after a disaster that is unsafe for human to enter and try to find and rescue victims. These robots should be highl...

In practical applications of robot swarms with bioinspired behaviors, a human operator will need to exert control over the swarm to fulfill the mission objectives. In many operational settings, human operators are remotely located and the communication environment is harsh. Hence, there exists some latency in information (or control command) transfer between the human and the swarm. In this pap...

This paper presents two new strategies for navigation of a swarm of robots for target/mission focused applications including landmine detection and firefighting. The first method presents an embedded fuzzy logic approach in the particle swarm optimization (PSO) algorithm robots and the second method presents a swarm of fuzzy logic controllers, one on each robot. The framework of both strategies...

Swarm robotics systems can be categorized as discrete event systems (DES) and can therefore be subjected to DES modeling and analysis tools. Taking on the same approach and considering successful application of matrices to model complex DES like flexible manufacturing systems, we present here a novel matrix formulation to model emergent coherent movement of a wirelessly connected swarm of robot...