<p>This thesis aims to provide a solution for wireless control of, and communication with and among Khepera robots, making use of the Bluetooth wireless technology, to allow wireless control of multiple robots in real time. It is based on the foregoing work of other students who constructed a module for wireless control of Khepera robots over Bluetooth, but they were not able to control more than one physical robot at a time. Khepera robots, as well as many wireless solutions to control those, are closely investigated, and an introduction to Bluetooth is given. An implementation of a Bluetooth protocol stack, which was carried out in the context of this dissertation, and constitutes one of the main parts of this project, is described in detail. The performance of the work discussed throughout this dissertation is evaluated w.r.t. transmission times of data over the wireless link, and afterwards compared to other solutions for real-time control of Khepera robots, e.g. a solution to control a Khepera robot over a wireless radio link. Furthermore, previously simulated experiments with autonomous agents are carried out on physical robots, to test the quality of the wireless solution. It is shown that the solution presented here operates much more efficient than any other existing solution, thus provides a very useful aid for the research community that is experimenting with physical robots in general, and real Khepera robots in particular, in order to simplify research, and allows for a broader spectrum of experiments.</p>

This thesis aims to provide a solution for wireless control of, and communication with and among Khepera robots, making use of the Bluetooth wireless technology, to allow wireless control of multiple robots in real time. It is based on the foregoing work of other students who constructed a module for wireless control of Khepera robots over Bluetooth, but they were not able to control more than one physical robot at a time. Khepera robots, as well as many wireless solutions to control those, are closely investigated, and an introduction to Bluetooth is given. An implementation of a Bluetooth protocol stack, which was carried out in the context of this dissertation, and constitutes one of the main parts of this project, is described in detail. The performance of the work discussed throughout this dissertation is evaluated w.r.t. transmission times of data over the wireless link, and afterwards compared to other solutions for real-time control of Khepera robots, e.g. a solution to control a Khepera robot over a wireless radio link. Furthermore, previously simulated experiments with autonomous agents are carried out on physical robots, to test the quality of the wireless solution. It is shown that the solution presented here operates much more efficient than any other existing solution, thus provides a very useful aid for the research community that is experimenting with physical robots in general, and real Khepera robots in particular, in order to simplify research, and allows for a broader spectrum of experiments.

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Diese Diplomarbeit gliedert sich in zwei Teile. Der erste Teil beschäftigt sich mit der Implementation einer Bibliothek zur Simulation künstlicher neuronaler Netze. Der zweite Teil untersucht und vergleicht verschiedene Lernverfahren zur Steuerung autonomer Roboter. Bei der Implementation der Lernverfahren wird dabei die Netzwerk-Bibliothek als Grundlage benutzt.

Orientadores: Fernando Jose Von Zuben, Mauricio Fernandes Figueiredo / Dissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Engenharia Eletrica e de Computação / Made available in DSpace on 2018-08-06T19:35:31Z (GMT). No. of bitstreams: 1 Michelan_Roberto_M.pdf: 4495515 bytes, checksum: aed72feefc89070579190e862ea0f740 (MD5) Previous issue date: 2006 / Resumo: A concepção de sistemas autônomos de navegação para robôs móveis, havendo múltiplos objetivos simultâneos a serem atendidos, como a coleta de lixo com manutenção da integridade, requer a adoção de técnicas refinadas de coordenação de módulos de comportamento elementar. Modelos de redes imunológicas artificiais podem então ser empregados na proposição de um controlador concebido com base em um processo de mapeamento dinâmico. Os anticorpos da rede são responsáveis pelos módulos de comportamento elementar, na forma de regras do tipo <condição>-<ação>, e as conexões são responsáveis pelos mecanismos de estímulo e supressão entre os anticorpos. A rede iniciará uma resposta imunológica sempre que lhe forem apresentados os antígenos. Estes antígenos representam a situação atual capturada pelos sensores do robô. A dinâmica da rede é baseada no nível de concentração dos anticorpos, definida com base na interação dos anticorpos e dos anticorpos com os antígenos. De acordo com o nível de concentração, um anticorpo é escolhido para definir a ação do robô. Um processo evolutivo é então responsável por definir um padrão de conexões para a rede imunológica, a partir de uma população de redes candidatas, capaz de maximizar o atendimento dos objetivos durante a navegação. Resulta então um sistema híbrido que tem a rede imunológica como responsável por introduzir um processo dinâmico de tomada de decisão e tem agora a computação evolutiva como responsável por definir a estrutura da rede. Para que fosse possível avaliar os controladores (redes imunológicas) a cada geração do processo evolutivo, um ambiente virtual foi desenvolvido para simulação computacional, com base nas características do problema de navegação. As redes imunológicas obtidas através do processo evolutivo foram analisadas e testadas em novas situações, apresentando capacidade de coordenação em tarefas simples e complexas. Os experimentos preliminares com um robô real do tipo Khepera II indicaram a eficácia da ferramenta de navegação / Abstract: The design of an autonomous navigation system for mobile robots, with simultaneous objectives to be satisfied, as garbage collection with maintenance of integrity, requires refined coordination mechanisms to deal with modules of elementary behavior. Models of artificial immune networks can then be applied to produce a controller based on dynamic mapping. The antibodies of the immune network are responsible for the modules of elementary behavior, in the form of <condition>-<action> rules, and the connections are responsible for the mechanisms of stimulation and suppression of antibodies. The network will always start an immune response when antigens are presented. These antigens represent the current output of the robot sensors. The network dynamics is based on the levels of antibody concentration, provided by interaction among antibodies, and among antibodies and antigens. Based on its concentration level, an antibody is chosen to define the robot action. An evolutionary process is then used to define the connection pattern of the immune network, from a population of candidate networks, capable of maximizing the objectives during navigation. As a consequence, a hybrid system is conceived, with an immune network implementing a dynamic process of decision-making, and an evolutionary algorithm defining the network structure. To be able to evaluate the controllers (immune networks) at each iteration of the evolutionary process, a virtual environment was developed for computer simulation, based on the characteristics of the navigation problem. The immune networks obtained by evolution were analyzed and tested in new situations and presented coordination capability in simple and complex tasks. The preliminary experiments on a real Khepera II robot indicated the efficacy of the navigation tool / Mestrado / Engenharia de Computação / Mestre em Engenharia Elétrica