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

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A Non-computationally-intensive Neurocontroller for Autonomous Mobile Robot Navigation,t 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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Some Approaches for Reusing Behaviour Based Robot Cognitive Architectures Obtained Through Evolutioitectures 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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Modular Neural Architectures for Robotics,orks 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

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Robust Estimation of the Optical Flow Based on VQ-BF,k computed by Vector Quantization (VQ) algorithms, which usually are used for compression and codification purposes. The Self Organizing Map is used to compute adaptively the vector quantizers of color imaged sequences. The codebook computed for each image in the sequence is then used as a smoothing

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Computing the Optimal Trajectory of Arm Movement: The TOPS (Task Optimization in the Presence of Sieed not specify the position, velocity, and acceleration of the hand at the start and end of a movement. We can easily apply this model to any task setting as well as to simple point-to-point reaching movements. Estimation of the optimal trajectories using computer simulations showed that in the cas

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