Abstract
We describe a method for localizing a mobile robot in its working environment using a vision system and Virtual Reality Modeling Language (VRML). The robot identifies the landmarks located in the environment, using image processing and neural network pattern matching techniques, and then it performs self-positioning based on vision information and a well-known localization algorithm. The correction of position error is performed using the 2-D scene of the vision and the overlay with the VRML scene. Through an experiment, the self-positioning algorithm has been implemented to a prototype robot and also it performed autonomous path tracking.
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Chong, K.T., Son, EH., Park, JH., Kim, YC. (2007). A Path Finding Via VRML and VISION Overlay for Autonomous Robot. In: Beliczynski, B., Dzielinski, A., Iwanowski, M., Ribeiro, B. (eds) Adaptive and Natural Computing Algorithms. ICANNGA 2007. Lecture Notes in Computer Science, vol 4432. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-71629-7_76
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DOI: https://doi.org/10.1007/978-3-540-71629-7_76
Publisher Name: Springer, Berlin, Heidelberg
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