Unveiling the Potential of Natural Language Processing in Collaborative Robots (Cobots): A Comprehensive Survey
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F25%3AI4P45Y8Z" target="_blank" >RIV/00216208:11320/25:I4P45Y8Z - isvavai.cz</a>
Result on the web
<a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85187007571&doi=10.1109%2fICCE59016.2024.10444393&partnerID=40&md5=1c7140674b9d78cf5bb020810fb0ccb6" target="_blank" >https://www.scopus.com/inward/record.uri?eid=2-s2.0-85187007571&doi=10.1109%2fICCE59016.2024.10444393&partnerID=40&md5=1c7140674b9d78cf5bb020810fb0ccb6</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ICCE59016.2024.10444393" target="_blank" >10.1109/ICCE59016.2024.10444393</a>
Alternative languages
Result language
angličtina
Original language name
Unveiling the Potential of Natural Language Processing in Collaborative Robots (Cobots): A Comprehensive Survey
Original language description
This paper delves into the integration of natural language processing (NLP) within the domain of cyber-physical systems, with a specific focus on collaborative robots (cobots), aiming to unravel the potential enhancements in communication, decision-making, and collaboration between humans and cobots. The primary objective is to conduct a comprehensive survey of NLP applications within the context of AI-Assisted networking and systems, shedding light on how NLP can effectively elevate cobot capabilities, encompassing real-Time decision-making, collaborative interactions, and training processes. The study meticulously categorizes the existing body of NLP research implemented on cobots, considering factors such as keywords, the number of published papers, and categorizations, allowing for a comprehensive assessment of their significance and impact. © 2024 IEEE.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
—
Continuities
—
Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Dig Tech Pap IEEE Int Conf Consum Electron
ISBN
979-835032413-6
ISSN
0747-668X
e-ISSN
—
Number of pages
6
Pages from-to
1-6
Publisher name
Institute of Electrical and Electronics Engineers Inc.
Place of publication
—
Event location
Las Vegas
Event date
Jan 1, 2025
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—