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Dynamic and interactive generation of object handling behaviors by a small humanoid robot using a dynamic neural network model.

, , , and . Neural Networks, 19 (3): 323-337 (2006)

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Extracting Regularities in Space and Time Through a Cascade of Prediction Networks: The Case of a Mobile Robot Navigating in a Structured Environment., and . Connect. Sci., 11 (2): 125-148 (1999)Learning Multiple Goal-Directed Actions Through Self-Organization of a Dynamic Neural Network Model: A Humanoid Robot Experiment., , and . Adaptive Behaviour, 16 (2-3): 166-181 (2008)Self-organization of object features representing motion using Multiple Timescales Recurrent Neural Network., , , and . IJCNN, page 1-8. IEEE, (2012)Emergence of interactive behaviors between two robots by prediction error minimization mechanism., , , , , and . ICDL-EPIROB, page 302-307. IEEE, (2016)Adaptive detrending to accelerate convolutional gated recurrent unit training for contextual video recognition., , and . Neural Networks, (2018)Learning to Perceive the World as Probabilistic or Deterministic via Interaction With Others: A Neuro-Robotics Experiment., , , , , and . IEEE Trans. Neural Networks Learn. Syst., 28 (4): 830-848 (2017)Embedding a grammatical description in deterministic chaos: an experiment in recurrent neural learning., and . Biol. Cybern., 72 (4): 365-370 (1995)Predictive Coding for Dynamic Visual Processing: Development of Functional Hierarchy in a Multiple Spatiotemporal Scales RNN Model., and . Neural Comput., (2018)Self-Organization and Compositionality in Cognitive Brains: A Neurorobotics Study.. Proc. IEEE, 102 (3): 586-605 (2014)Seamless Integration and Coordination of Cognitive Skills in Humanoid Robots: A Deep Learning Approach., and . CoRR, (2017)