Autonomous learning of robust visual object detection and identification on a humanoid

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@InProceedings{Leitner:2012:ICDL,

• author = "Juergen Leitner and Pramod Chandrashekhariah and Simon Harding and Mikhail Frank and Gabriele Spina and Alexander Forster and Jochen Triesch and Juergen Schmidhuber",
• booktitle = "IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL 2012)",
• title = "Autonomous learning of robust visual object detection and identification on a humanoid",
• year = "2012",
• DOI = "doi:10.1109/DevLrn.2012.6400826",
• abstract = "In this work we introduce a technique for a humanoid robot to autonomously learn the representations of objects within its visual environment. Our approach involves an attention mechanism in association with feature based segmentation that explores the environment and provides object samples for training. These samples are learnt for further object identification using Cartesian Genetic Programming (CGP). The learnt identification is able to provide robust and fast segmentation of the objects, without using features. We showcase our system and its performance on the iCub humanoid robot.",
• keywords = "genetic algorithms, genetic programming, humanoid robots, image segmentation, object detection, robot vision, Cartesian genetic programming, autonomous learning, feature based segmentation, iCub humanoid robot, object identification, object segmentation, robust visual object detection, visual environment, Feature extraction, Image segmentation, Object segmentation, Robots, Robustness, Training, Visualisation",
• notes = "Also known as \cite{6400826}",

}

Genetic Programming entries for Juergen Leitner Pramod Chandrashekhariah Simon Harding Mikhail Frank Gabriele Spina Alexander Forster Jochen Triesch Jurgen Schmidhuber

Citations