dc.creatorSuárez Bonilla, Félix David
dc.creatorRuiz Ugalde, Federico
dc.date.accessioned2021-11-01T15:49:30Z
dc.date.accessioned2022-10-19T23:58:11Z
dc.date.available2021-11-01T15:49:30Z
dc.date.available2022-10-19T23:58:11Z
dc.date.created2021-11-01T15:49:30Z
dc.date.issued2019
dc.identifierhttps://ieeexplore.ieee.org/document/8675641
dc.identifierhttps://hdl.handle.net/10669/84967
dc.identifier10.1109/IRC.2019.00026
dc.identifier322-B6-279
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/4526816
dc.description.abstractIn 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.
dc.languageeng
dc.source2019 Third IEEE International Conference on Robotic Computing (IRC), pp.1-7
dc.subjectRobot
dc.subjectCognitive robotics
dc.subjectLSTM neural network
dc.subjectNeural network
dc.titleAutomatic Translation of Spanish Natural Language Commands to Control Robot Comands Based on LSTM Neural Network
dc.typecomunicación de congreso


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