Robotic manufacturing systems: A survey on technologies to improve the cognitive level in HRI

Yuyang Du; Jian Wang; Zhanxi Wang; Fei Yu; Chen Zheng

doi:10.1016/j.procir.2022.05.181

Robotic manufacturing systems: A survey on technologies to improve the cognitive level in HRI

Yuyang Du, Jian Wang, Zhanxi Wang, Fei Yu, Chen Zheng^*

^*Corresponding author for this work

Northwestern Polytechnical University

Research output: Contribution to journal › Conference article › Research › peer-review

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Abstract

Human-robot interaction (HRI) plays an increasingly important role in modern manufacturing processes, as it greatly improves manufacturing efficiency, flexibility, and intelligence. However, some problems related to the cognitive level during the human interaction process still exist, which may hinder the manufacturing accuracy and efficiency, and even present a potential threat to humans who work in the same workspace. Therefore, this study conducts an in-depth survey on current non-exhaustive cognitive technologies such as sensing, motion planning, artificial intelligence, and human-inspired technologies, which are the key aspects for improving the cognitive level of robotic manufacturing systems in HRI. In addition, considering the limitations of current cognitive technologies, the authors present a multidisciplinary cognitive framework to improve the cognitive level of robotic manufacturing systems for intelligent HRI.

Original language	English
Journal	Procedia CIRP
Volume	107
Pages (from-to)	1497-1502
ISSN	2212-8271
DOIs	https://doi.org/10.1016/j.procir.2022.05.181
Publication status	Published - 2022
Event	55th CIRP Conference on Manufacturing Systems, CIRP CMS 2022 - Lugano, Switzerland Duration: 29. Jun 2022 → 1. Jul 2022

Conference

Conference	55th CIRP Conference on Manufacturing Systems, CIRP CMS 2022
Country/Territory	Switzerland
City	Lugano
Period	29/06/2022 → 01/07/2022

Keywords

cognitive technologies
efficiency and accuracy
human-robot interaction
robotic manufacturing systems
safety

Documents & Links

10.1016/j.procir.2022.05.181Licence: CC BY-NC-ND

Open Access VersionFinal published version, 3.58 MBLicence: CC BY-NC-ND

Smart product development and production
Yu, F. & Ribeiro da Silva, E.
01/01/2021 → 31/12/2023
Project: Research

Cite this

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title = "Robotic manufacturing systems: A survey on technologies to improve the cognitive level in HRI",

abstract = "Human-robot interaction (HRI) plays an increasingly important role in modern manufacturing processes, as it greatly improves manufacturing efficiency, flexibility, and intelligence. However, some problems related to the cognitive level during the human interaction process still exist, which may hinder the manufacturing accuracy and efficiency, and even present a potential threat to humans who work in the same workspace. Therefore, this study conducts an in-depth survey on current non-exhaustive cognitive technologies such as sensing, motion planning, artificial intelligence, and human-inspired technologies, which are the key aspects for improving the cognitive level of robotic manufacturing systems in HRI. In addition, considering the limitations of current cognitive technologies, the authors present a multidisciplinary cognitive framework to improve the cognitive level of robotic manufacturing systems for intelligent HRI.",

keywords = "cognitive technologies, efficiency and accuracy, human-robot interaction, robotic manufacturing systems, safety",

author = "Yuyang Du and Jian Wang and Zhanxi Wang and Fei Yu and Chen Zheng",

year = "2022",

doi = "10.1016/j.procir.2022.05.181",

language = "English",

volume = "107",

pages = "1497--1502",

journal = "Procedia CIRP",

issn = "2212-8271",

publisher = "Heinemann",

note = "55th CIRP Conference on Manufacturing Systems, CIRP CMS 2022 ; Conference date: 29-06-2022 Through 01-07-2022",

}

TY - GEN

T1 - Robotic manufacturing systems: A survey on technologies to improve the cognitive level in HRI

AU - Du, Yuyang

AU - Wang, Jian

AU - Wang, Zhanxi

AU - Yu, Fei

AU - Zheng, Chen

PY - 2022

Y1 - 2022

N2 - Human-robot interaction (HRI) plays an increasingly important role in modern manufacturing processes, as it greatly improves manufacturing efficiency, flexibility, and intelligence. However, some problems related to the cognitive level during the human interaction process still exist, which may hinder the manufacturing accuracy and efficiency, and even present a potential threat to humans who work in the same workspace. Therefore, this study conducts an in-depth survey on current non-exhaustive cognitive technologies such as sensing, motion planning, artificial intelligence, and human-inspired technologies, which are the key aspects for improving the cognitive level of robotic manufacturing systems in HRI. In addition, considering the limitations of current cognitive technologies, the authors present a multidisciplinary cognitive framework to improve the cognitive level of robotic manufacturing systems for intelligent HRI.

AB - Human-robot interaction (HRI) plays an increasingly important role in modern manufacturing processes, as it greatly improves manufacturing efficiency, flexibility, and intelligence. However, some problems related to the cognitive level during the human interaction process still exist, which may hinder the manufacturing accuracy and efficiency, and even present a potential threat to humans who work in the same workspace. Therefore, this study conducts an in-depth survey on current non-exhaustive cognitive technologies such as sensing, motion planning, artificial intelligence, and human-inspired technologies, which are the key aspects for improving the cognitive level of robotic manufacturing systems in HRI. In addition, considering the limitations of current cognitive technologies, the authors present a multidisciplinary cognitive framework to improve the cognitive level of robotic manufacturing systems for intelligent HRI.

KW - cognitive technologies

KW - efficiency and accuracy

KW - human-robot interaction

KW - robotic manufacturing systems

KW - safety

U2 - 10.1016/j.procir.2022.05.181

DO - 10.1016/j.procir.2022.05.181

M3 - Conference article

SN - 2212-8271

VL - 107

SP - 1497

EP - 1502

JO - Procedia CIRP

JF - Procedia CIRP

T2 - 55th CIRP Conference on Manufacturing Systems, CIRP CMS 2022

Y2 - 29 June 2022 through 1 July 2022

ER -

Robotic manufacturing systems: A survey on technologies to improve the cognitive level in HRI

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Smart product development and production

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