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Automatic Translation of Spanish Natural Language Commands to Control Robot Comands Based on LSTM Neural Network

Felix Suarez Bonilla, Federico Ruiz Ugalde

Year
2019
Citations
9

Abstract

In this paper, we propose a high level layer able to translate motion commands in natural spanish language to a formal intermediate representation called Robot Control Language (RCL). The layer was built by using the seq2seq TensorFlow library, with a single forward LSTM for encoder and decoder respectively. We were able to achieve a 4.3e-08 loss employing a manually generated corpus in Spanish.

Keywords

Computer scienceMachine translationNatural languageArtificial intelligenceEncoderNatural language processingLayer (electronics)Representation (politics)RobotRecurrent neural network

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