Commanding Mobile Robot Movement based on Natural Language Processing with RNN Encoder-Decoder

被引:0
|
作者
Kahuttanaseth, Wittawin [1 ]
Dressler, Alexander [1 ]
Netramai, Chayakorn [1 ]
机构
[1] King Mongkuts Univ Technol North Bangkok, Software Syst Engn, Sirindhorn Int Thai German Grad Sch Engn, Bangkok, Thailand
关键词
component; Natural Language Processing; Machine Learning; Autonomous Mobile Robot; RNN Encoder-Decoder;
D O I
暂无
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
This work utilizes the potential of NLP and machine learning for the challenging task of human-machine communication. A task of robot movement is selected as the context of the research work where the goal is to create a software system that receives natural language input movement command from human and produces the set of precise trajectory information for the robot to perform. The proposed system consists of Pre-processing function, Command classification, Parameter classification, Post-processing function where RNN Encoder-Decoder is used for the implementation of the classification process. The system was trained using a dataset of 1,600 unique entries. The experiment results show that the average accuracy in case of single movement command is 79.23% whereas the average accuracy in case of multiple command in one sentence is 73.65%
引用
收藏
页码:161 / 166
页数:6
相关论文
共 50 条
  • [1] Translation of Natural Language Query Into Keyword Query Using a RNN Encoder-Decoder
    Song, Hyun-Je
    Kim, A-Yeong
    Park, Seong-Bae
    [J]. SIGIR'17: PROCEEDINGS OF THE 40TH INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL, 2017, : 965 - 968
  • [2] Neural-based Natural Language Generation in Dialogue using RNN Encoder-Decoder with Semantic Aggregation
    Van-Khanh Tran
    Le-Minh Nguyen
    Tojo, Satoshi
    [J]. 18TH ANNUAL MEETING OF THE SPECIAL INTEREST GROUP ON DISCOURSE AND DIALOGUE (SIGDIAL 2017), 2017, : 231 - 240
  • [3] Generating Chinese Classical Poems with RNN Encoder-Decoder
    Yi, Xiaoyuan
    Li, Ruoyu
    Sun, Maosong
    [J]. CHINESE COMPUTATIONAL LINGUISTICS AND NATURAL LANGUAGE PROCESSING BASED ON NATURALLY ANNOTATED BIG DATA, CCL 2017, 2017, 10565 : 211 - 223
  • [4] An Encoder-Decoder Framework Translating Natural Language to Database Queries
    Cai, Ruichu
    Xu, Boyan
    Zhang, Zhenjie
    Yang, Xiaoyan
    Li, Zijian
    Liang, Zhihao
    [J]. PROCEEDINGS OF THE TWENTY-SEVENTH INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE, 2018, : 3977 - 3983
  • [5] RNN Encoder-Decoder for the inference of regular human mobility patterns
    Katranji, Mehdi
    Sanmarty, Guilhem
    Moalic, Laurent
    Kraiem, Sami
    Caminada, Alexandre
    Selem, Fouad Hadj
    [J]. 2018 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN), 2018,
  • [6] Mining Implicit Intention Using Attention-Based RNN Encoder-Decoder Model
    Li, ChenXing
    Du, YaJun
    Wang, SiDa
    [J]. INTELLIGENT COMPUTING METHODOLOGIES, ICIC 2017, PT III, 2017, 10363 : 413 - 424
  • [7] Software reliability prediction using a deep learning model based on the RNN encoder-decoder
    Wang, Jinyong
    Zhang, Ce
    [J]. RELIABILITY ENGINEERING & SYSTEM SAFETY, 2018, 170 : 73 - 82
  • [8] Natural Scene Text Recognition Based on Encoder-Decoder Framework
    Zuo, Ling-Qun
    Sun, Hong-Mei
    Mao, Qi-Chao
    Qi, Rong
    Jia, Rui-Sheng
    [J]. IEEE ACCESS, 2019, 7 : 62616 - 62623
  • [9] Prediction of Pedestrian Trajectory in a Crowded Environment Using RNN Encoder-Decoder
    Xiong Xincheng
    Bhujel, Niraj
    Teoh, Eam Khwang
    Yau, Wei-Yun
    [J]. PROCEEDINGS OF THE 5TH INTERNATIONAL CONFERENCE ON ROBOTICS AND ARTIFICIAL INTELLIGENCE, ICRAI 2019, 2019, : 64 - 69
  • [10] Pedestrian Trajectory Prediction Using RNN Encoder-Decoder with SpatioTemporal Attentions
    Bhujel, Niraj
    Yau, Wei-Yun
    Teoh, Eam Khwang
    [J]. 2019 IEEE 5TH INTERNATIONAL CONFERENCE ON MECHATRONICS SYSTEM AND ROBOTS (ICMSR 2019), 2019, : 110 - 114