Titlebook: Biologically Inspired Robot Behavior Engineering; Richard J. Duro,José Santos,Manuel Graña Book 2003 Springer-Verlag Berlin Heidelberg 200

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https://doi.org/10.1007/978-3-031-35924-8entail using an artificial selection process to automatically generate developmental programs for neural networks that control rolling, walking, swimming and flying animats or robots. Basically, they complement the underlying evolutionary process with a developmental procedure — in order to hopefull

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Reem Alsaffar,Susan Gauch,Hiba Al-Kawazlgorithm for fuzzy controllers and we apply it to the control of a robot with a single actuator. We then extend the controller and the learning algorithm in order to control a robot with multiple degrees of freedom. In this case, a hierarchical behavior-based controller architecture is used to simpl

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https://doi.org/10.1007/978-3-642-72034-5iscuss in which conditions we can expect the emergence of systems able to integrate sensory-motor information over time and later use this information to modulate their behavior accordingly. In doing so we will discuss the problems that these systems should be able to solve and the processes that mi

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https://doi.org/10.1007/978-3-642-72034-5t is non-computationally-intensive. It provides a learning robot with the capability to autonomously categorize input data from the environment, to deal with the stability-plasticity dilemma, and to learn a state-to-action mapping that enables it to navigate in a workspace while avoiding obstacles.

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Ronald P. A. Petrick,Mary Ellen Fosteritectures and modules for autonomous robots more standardized and interchangeable. These architectures are based on a hierarchical behaviour structure where all of the modules, as well as their interconnections, are automatically obtained through evolutionary processes. The objective has been to obt

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https://doi.org/10.1007/978-3-030-38561-3orks to implement complex functions. A review of a number of works presents some implementations in robotics, describing the purpose of the modular architecture, its structure, and the learning technique that was applied. The second part of the chapter presents an original approach to this problem o