Inspired by the collective behavior observed in natural insects, swarm robotics is a new approach in designing control algorithms for a large group of robots performing a certain task. In such robotic systems, an individual robot with only limited capabilities in terms of sensing, computation, and communication can adapt its own behavior so that a desired collective behavior emerges from the lo...

This paper proposes a novel method to improve the efficiency of a swarm of robots searching in an unknown environment. The approach focuses on the process of feeding and individual coordination characteristics inspired by the foraging behavior in nature. A predatory strategy was used for searching; hence, this hybrid approach integrated a random search technique with a dynamic particle swarm op...

Purpose – The purpose of this paper is to consider the logical specification, and automated verification, of high-level robotic behaviours. Design/methodology/approach – The paper uses temporal logic as a formal language for providing abstractions of foraging robot behaviour, and successively extends this to multiple robots, items of food for the robots to collect, and constraints on the real-t...

The coordination of a large group of robots to solve a specified task is a difficult problem. Centralized approaches can be computationally intractable, brittle, and unresponsive to change. Distributed approaches are not as prone to these problems, but they can be highly sub-optimal. This work introduces a novel approach for coordinating robots based on the free market system. Market economies ...

In this paper, we study a new approach to multi-robot localization based on local communication which confers the robots the possibility to learn from the others. By communicating with the rest of the group, robots are able to correct, localize and achieve tasks they could not solve by their own. We use a foraging task as test bed where a nest and prey areas must be identified by the robots. On...

Swarm robotics draws inspiration from decentralised, self-organising biological systems in general and from the collective behaviour of social insects in particular. In social insect colonies, many tasks are performed by higher-order group or team entities, whose task solving capacities transcend those of the individual participants. In this paper, we investigate the emergence of such higher-or...

Corresponding author Member of the Institute of Systems and Robotics, University of Coimbra, Portugal Member of the RoboCorp, DEE, Engineering Institute of Coimbra, Portugal Member of the Knowledge Engineering and Decision Support Research Center, Porto Portugal. 1588 M. S. Couceiro, F. M. L. Martins, R. P. Rocha and N. M. Fonseca Ferreira Although the well-known Particle Swarm Optimization (PS...

This paper addresses the dynamic path planning for two mobile robots in unknownenvironment with obstacle avoidance and moving target tracking. These robots must form atriangle with moving target. The algorithm is composed of two parts. The first part of thealgorithm used for formation planning of the robots and a moving target. It generates thedesired position for the robots for the next step. ...

In real-world applications, Internet or online robots require a high degree of autonomy and local intelligence to deal with the uncertainties in both their environments and the Internet. This paper describes our progress in building a new framework for remote cooperation of multiple online robots, which can be accessed through any Java-enabled browsers. We present an approach to the cooperation...

Swarm robotics is a branch of collective robotics that outperforms many other systems due to its large number of robots. It allows for performing several tasks that are beyond the capability of a single or multi robot systems. Its global behaviour emerges from the local rules implemented on the level of its individual robots. Thus, estimating the obtained performance in a self-organized manner ...