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The design and implementation of adaptive systems for accessing information is a sophisticated task. Different models have been proposed to build systems that adapt to the user reducing the complexity in the information browsing process, saving user time and offering personalized interfaces. The work described in this paper, named WAY-Z39.50, is an example of fuzzy adaptive system specially built for accessing digital libraries

En la liga de 4 patas de la Robocup, equipos de 4 robots AIBO autónomos se enfrentan entre si en partidos de fútbol. El objetivo de esta competición es presentar un entorno desafiante en que se han de resolver varios problemas relacionados con la robótica. En particular, la localización. Cada uno de los jugadores ha de estar localizado durante los partidos para que su comportamiento sea coherente. En este artículo proponemos un método de localización que combina técnicas de lógica difusa y filtros de Kalman para conseguir una localización más robusta, fiable y ligera

A new methodological approach to solve the problem of integrating different behaviors in autonomous robots is developed in this paper. It relies on the succesful integration of several fuzzy relational algorithms (Zadeh73), each one specialized in a different task. The whole system is based on a continiously act on sensor data (reactive) approach. The problem is how to got an intelligent behavior from low level reactive controllers. Our assumption is that we can obtain adecuate response to unkown external situations from the fusion of basic actions

P. 287-297 Different models have been proposed to build systems that adapt to the user reducing the complexity in the information browsing process, saving user time and offering personalised interfaces. The work described in this paper, named Way-Z39.50, is an example of adaptive system specially built for accessing digital libraries. A fuzzy decision mechanism is used to implement the adaptation of both the user interface and the information searching process. This paper describes how this system has been designed and implemented, focusing on its fuzzy-based components. Finally, it also briefly discusses the advantages of using fuzzy logic to implement adaptability of the user interface and the searching process SI

This paper is concerned with the learning of basic behaviors in autonomous robots. In this way, we present a method for the adaptation of basic reactive behaviors implemented as fuzzy controllers applying a genetic algorithm to the evolution of the fuzzy rule system. In this sense, we show our experiments in the evolution of control rules based on symbolic concepts represented as linguistic labels. The rules will be formulated in a fuzzy way and in order to test the rules obtained in each generation of the genetic algorithm a real robot has been used. The individual with the best performance is chosen to generate a new population: the elite strategy. All the new individuals were tested in the same real environment. In conclusion, the individuals of the last generation offer a set of rules that provides better performance than the ones designed by a non-expert designer

This paper deals with the decision making process, using fuzzy information, in a distributed environment. In order to deal with the complexity of this problem we have used the agent model approach. In this way we have apply this model to the problem of transportation in a non-centralized environment. The internal decosion process inside each agent is archieved through a fuzzy reasoning system

6 p. Este artículo presenta los trabajos realizados en la Universidad Rey Juan Carlos para construir un equipo de jugadores simulados según las normas de la RoboCup.Utilizando las acciones básicas permitidas por el servidor oficial se han construido unos comportamientos primitivos. Para cada jugador se ha creado una memoria local que integra la información subjetiva que tiene sobre su entorno y su estado interno. Sobre esta memoria un controlador borroso determina en cada instante la activación de los comportamientos primitivos que,a su vez, generan el comportamiento observable de cada jugador.Se han implementado siete roles hasta completar los distintos jugadores del equipo real: portero,central,delantero,media punta, lateral,medio e interior

Robots are just starting to appear in peopled environments but in order to be accepted by humans, they should obey basic people’s social rules. In particular, they have to be able to move around without disturbing people. This means that they have to obey the social rules that manage the movement of people, for example following virtual lanes when moving through corridors, not crossing in front of moving people, etc. In this paper some of these aspects are explained, as well as the implementation of preliminaries works to implement the proposed solutions are described. So, a slight modification to the Lane-Curvature Method is presented to improve the behavior of a mobile robot when crossing people in a corridor. Other works needed to test this modifications in the robot Amelia of the Reliable Autonomous Systems Lab, as the implementation of a fuzzy controller, are also described in this paper

P. 33-41 This paper concerns the learning of basic behaviors in an autonomous robot. It presents a method to adapt basic reactive behaviors using a genetic algorithm. Behaviors are implemented as fuzzy controllers and the genetic algorithm is used to evolve their rules. These rules will be formulated in a fuzzy way using prefixed linguistic labels. In order to test the rules obtained in each generation of the genetic evolution process, a real robot has been used. Numerical results from the evolution rate of the different experiments, as well as an example of the fuzzy rules obtained, are presented and discussed SI

This paper presents a model for the control of autonomous robots that allows cooperation among them. The control structure is based on a general purpose multi-agent architecture using a hybrid approach made up by two levels. One level is composed of reactive skills capable of achieving simple actions by their own. The other one uses an agenda used as an opportunistic planning mechanism to compound, activate and coordinate the basic skills. This agenda handles actions both from the internal goals of the robot or from other robots. This two level approach allows the integration of real-time response of reactive systems needed for robot low-level behavior, with a classical high level planning component that permits a goal oriented behavior. The paper describes the architecture itself, and its use in three different domains, including real robots, as well as the issues arising from its adaptation to the RoboCup simulator domain

This paper presents an architecture for the control of autonomous systems that allows cooperation among them This paper focuses on the description of the upper layers of the model The control structure is based on a general purpose multi agent architecture based on a two levels approach One level is composed of reactive skills capable of achieving simple actions by their own The other one is an agenda used as an opportunistic planning mechanism to compound activate and coordinate the basic skills This agenda handles actions both from the internal goals of the robot or from other robots

P. 68-74 Este artículo se enmarca dentro del campo de las arquitecturas de cooperación entre robots. En concreto, el trabajo presenta un estudio comparativo del rendimiento de tres protocolos de comunicación borrosos entre dos robots autónomos

In this paper a fuzzy interaction among robots in a group is presented as an alternative solution to the classical protocols used in architectures for the cooperation of robots. In order to achieve this goal, the integration of previous works carried out on fuzzy behaviors and on cooperative architectures at the Intelligent Agents Lab. (LAI) has been used. This cooperation/coordination protocol is necessary to successfully control a group of autonomous robots. The protocol will take into account the fuzzy controllers used in the design of the robots. Three different fuzzy protocols have been considered and tested, both in a simulator and in real robots. The results of the experiments carried out and the conclusions obtained are presented.