Initial weight estimation for learning the internal model based on the knowledge of the robot morphology

Abstract

The information used to determine the internal model of a robot system emerges from individual interactions with the environment. Knowledge about a specific internal model can be acquired by means of model learning techniques based on supervised machine learning tools, such as neural networks. One of the main challenges is to specify the starting point for… (More)
DOI: 10.1109/IROS.2016.7759580

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Cite this paper

@article{Duran2016InitialWE, title={Initial weight estimation for learning the internal model based on the knowledge of the robot morphology}, author={Angel Juan Duran and Angel P. Del Pobil}, journal={2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)}, year={2016}, pages={3941-3946} }