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

Fecha

2019

Tipo

comunicación de congreso

Autores

Suárez Bonilla, Félix David
Ruiz Ugalde, Federico

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Resumen

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.

Descripción

Palabras clave

Robot, Cognitive robotics, LSTM neural network, Neural network