In this paper we present our software framework for robotic applications, jde-neoc. This is the second implementation of our cognitive behavior-based architecture JDE, and it is aimed to overcome some of the limitations observed in three years using the first…

In this work we present a reactive autonomous robot navigation system based only on omnidirectional vision. It does not rely on any prior knowledge about the environment apart from assuming a structured one, like indoor corridors or outdoor avenues. The…

The research presented in this paper approaches the issue of indoor localization using the fuzzy logic framework for modeling and dealing with the uncertainty of the position measurements. Fuzzy logic presents properties that make it suitable tool to represent and…

In this paper we present a novel approach to assigning roles to robots in a team of physical heterogeneous robots. Its members compete for these roles and get rewards for them. The rewards are used to determine each agent’s preferences…

Recent multi-robot exploration algorithms usually rely on occupancy grids as their core world representation. However, those grids are not appropriate for environments that are very large or whose boundaries are not well delimited from the beginning of the exploration. In…

Despite of the advances achieved in the past years in order to design more natural interfaces between intelligent systems and humans, there is still a great effort to be done. Considering a robot as an intelligent system, the determination of…

Environments with a low density of landmarks are difficult for vision-based Simultaneous Localization and Mapping (SLAM) algorithms. The use of omnidirectional cameras, which have a wide field of view, is specially interesting in these environments as several landmarks are usually…

MACSimJX provides the means for advanced modelling and development of multiagent driven control systems. This is achieved by drawing together two modelling tools used extensively in their respective communities. These are Simulink, a tool used for control systems development and…

The purpose of this study was to examine how children think about and attribute features of friendship to a robot after a brief interaction with one. Children visiting a science centre located in a major Western Canadian city were randomly…

The ability of building robust semantic space representations of environments is crucial for the development of truly autonomous robots. This task, inherently connected with cognition, is traditionally achieved by training the robot with a supervised learning phase. We argue that…