Robot and Human Interaction using Natural Language Understanding in Indonesian based on Mental Image Based Understanding
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F23%3AC7DNDIXS" target="_blank" >RIV/00216208:11320/23:C7DNDIXS - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/abstract/document/10262678/" target="_blank" >https://ieeexplore.ieee.org/abstract/document/10262678/</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/icoict58202.2023.10262678" target="_blank" >10.1109/icoict58202.2023.10262678</a>
Alternative languages
Result language
angličtina
Original language name
Robot and Human Interaction using Natural Language Understanding in Indonesian based on Mental Image Based Understanding
Original language description
"Robots, in order to understand human commands, could be possible if there is an interaction between them. Possible interaction including the Natural Language, that humans have used to communicate with each other. The method used in this research for robots to understand Natural Language is Mental Image Directed Semantic Theory (MIDST) which uses unique Lmd formula as a basis for computing the Natural Language Understanding (NLU) processes. Equipped with support modules such as Speech to Text, Text to Speech, and Synonym Search Algorithm the robot successfully to receive, understand, and issue responses according to the Natural Language expressions given in Indonesian Language. The movement of the robot is also simulated in a two-dimensional plane to demonstrate its ability to serve humans."
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
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Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
"2023 11th International Conference on Information and Communication Technology (ICoICT)"
ISBN
979-8-3503-2198-2
ISSN
2162-1241
e-ISSN
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Number of pages
6
Pages from-to
493-498
Publisher name
IEEE
Place of publication
Melaka, Malaysia
Event location
Melaka, Malaysia
Event date
Jan 1, 2023
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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