Reactive Navigation based on Self-Organised Visual Information
To build a visual servoing system to behaviour-based robotics navigation we need to understand how the whole visual features of the could be grouped in meaningful agglomerations of information also noting the action to associate to the particular visual input.
KeywordsAgglomeration Dium Sonar
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- Chantemargue, F., and Hirsbrunner, B., 1999, A collective Robotics application based on emergence and self-organization.Google Scholar
- Ecemis, M. I., and Gaudiano, P., 1999, Object Recognition with Ultrasonic Sensors. In Proceedings of the 1999 IEEE International Symposium on Computational Intelligence in Robotics and Automation, CIRA’99, Monterey, CA, pp. 250-255.Google Scholar
- Kohonen, T., 2000, Foreword. In Faithful Representations and topographics maps. From distortion to information based self-organization (M. M., van Hulle), John Wiley & Sons.Google Scholar
- Krose, B., 1998, Environment learning and localization in ‘sensor-space’. Proc. of the 10th Netherlands/Belgium Conf. on Artificial Intelligence, pp. 229–239.Google Scholar
- Maturana, H., and Varela, F. J., 1987, The tree of knowledge: the biological roots of human understanding. New Science Library, Boston, MA.Google Scholar
- Varela, F. J., Thompson, E., and Rosch, E., 1991, The embodied mind: Cognitive science and Human experience. MIT Press, Cambridge, MA.Google Scholar
- Oja, E., and Heikkonen, J., 1993, Self-Organizing Maps for Visually Guided Collision-free Navigation. In Proc. IJCNN-93, Nagoya.Google Scholar
- Ritter, H., 2000, Foreword. In Faithful Representations and topographics maps. From distortion to information based self-organization (M. M., van Hulle), John Wiley & Sons.Google Scholar