EHRCoI4: A Novel Framework for Enhancing Human-Robot Collaboration in Industry 4.0

Iram Arshad; Roopesh Bharatwaj K R; Saeed Hamood Alsamhi; Edward Curry

doi:10.1109/eSmarTA59349.2023.10293744

EHRCoI4: A Novel Framework for Enhancing Human-Robot Collaboration in Industry 4.0

Iram Arshad
, Roopesh Bharatwaj K R
, Saeed Hamood Alsamhi
, Edward Curry

Limerick Institute of Technology
University College Dublin
University of Galway

Research output: Chapter in Book or Conference Publication/Proceeding › Conference Publication › peer-review

3 Citations (Scopus)

Abstract

This paper introduces a novel, cost-effective method for enhancing human-robot collaboration in Industry 4.0 manufacturing using the OpenCV AI Kit-Lite (OAK-D-Lite). Our vision-based system employs deep learning models for realtime human detection and dynamic adjustment of robot operations, ensuring safety without needing costly Lidar sensors. We further present an autonomous system utilizing You Only Look Once (YOLO) v5 that accurately identifies, classifies, and handles workpieces, effectively reducing human intervention. We demonstrate the solutions using a Lego Mindstorm kit-based robotic arm, highlighting the flexibility and adaptability of our approach. Our research contributes significantly to safer and economically efficient AI integration in industrial settings, marking a step forward for Industry 4.0 manufacturing.

Original language	English
Title of host publication	2023 3rd International Conference on Emerging Smart Technologies and Applications, eSmarTA 2023
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9798350305333
DOIs	https://doi.org/10.1109/eSmarTA59349.2023.10293744
Publication status	Published - 2023
Event	3rd International Conference on Emerging Smart Technologies and Applications, eSmarTA 2023 - Taiz, Yemen Duration: 10 Oct 2023 → 11 Oct 2023

Publication series

Name	2023 3rd International Conference on Emerging Smart Technologies and Applications, eSmarTA 2023

Conference

Conference	3rd International Conference on Emerging Smart Technologies and Applications, eSmarTA 2023
Country/Territory	Yemen
City	Taiz
Period	10/10/23 → 11/10/23

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure

Keywords

Human robots interaction
In-dustry 4.0
Industrial Robotics
Industry 5.0
Picking and placing
smart environments

Access to Document

10.1109/eSmarTA59349.2023.10293744

Cite this

Arshad, I., Bharatwaj K R, R., Alsamhi, S. H., & Curry, E. (2023). EHRCoI4: A Novel Framework for Enhancing Human-Robot Collaboration in Industry 4.0. In 2023 3rd International Conference on Emerging Smart Technologies and Applications, eSmarTA 2023 (2023 3rd International Conference on Emerging Smart Technologies and Applications, eSmarTA 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/eSmarTA59349.2023.10293744

Arshad, Iram ; Bharatwaj K R, Roopesh ; Alsamhi, Saeed Hamood et al. / EHRCoI4 : A Novel Framework for Enhancing Human-Robot Collaboration in Industry 4.0. 2023 3rd International Conference on Emerging Smart Technologies and Applications, eSmarTA 2023. Institute of Electrical and Electronics Engineers Inc., 2023. (2023 3rd International Conference on Emerging Smart Technologies and Applications, eSmarTA 2023).

@inproceedings{a124b7bb57e1495dab3e3b81e492b364,

title = "EHRCoI4: A Novel Framework for Enhancing Human-Robot Collaboration in Industry 4.0",

abstract = "This paper introduces a novel, cost-effective method for enhancing human-robot collaboration in Industry 4.0 manufacturing using the OpenCV AI Kit-Lite (OAK-D-Lite). Our vision-based system employs deep learning models for realtime human detection and dynamic adjustment of robot operations, ensuring safety without needing costly Lidar sensors. We further present an autonomous system utilizing You Only Look Once (YOLO) v5 that accurately identifies, classifies, and handles workpieces, effectively reducing human intervention. We demonstrate the solutions using a Lego Mindstorm kit-based robotic arm, highlighting the flexibility and adaptability of our approach. Our research contributes significantly to safer and economically efficient AI integration in industrial settings, marking a step forward for Industry 4.0 manufacturing.",

keywords = "Human robots interaction, In-dustry 4.0, Industrial Robotics, Industry 5.0, Picking and placing, smart environments",

author = "Iram Arshad and \{Bharatwaj K R\}, Roopesh and Alsamhi, \{Saeed Hamood\} and Edward Curry",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 3rd International Conference on Emerging Smart Technologies and Applications, eSmarTA 2023 ; Conference date: 10-10-2023 Through 11-10-2023",

year = "2023",

doi = "10.1109/eSmarTA59349.2023.10293744",

language = "English",

series = "2023 3rd International Conference on Emerging Smart Technologies and Applications, eSmarTA 2023",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2023 3rd International Conference on Emerging Smart Technologies and Applications, eSmarTA 2023",

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Arshad, I, Bharatwaj K R, R, Alsamhi, SH & Curry, E 2023, EHRCoI4: A Novel Framework for Enhancing Human-Robot Collaboration in Industry 4.0. in 2023 3rd International Conference on Emerging Smart Technologies and Applications, eSmarTA 2023. 2023 3rd International Conference on Emerging Smart Technologies and Applications, eSmarTA 2023, Institute of Electrical and Electronics Engineers Inc., 3rd International Conference on Emerging Smart Technologies and Applications, eSmarTA 2023, Taiz, Yemen, 10/10/23. https://doi.org/10.1109/eSmarTA59349.2023.10293744

EHRCoI4: A Novel Framework for Enhancing Human-Robot Collaboration in Industry 4.0. / Arshad, Iram; Bharatwaj K R, Roopesh; Alsamhi, Saeed Hamood et al.
2023 3rd International Conference on Emerging Smart Technologies and Applications, eSmarTA 2023. Institute of Electrical and Electronics Engineers Inc., 2023. (2023 3rd International Conference on Emerging Smart Technologies and Applications, eSmarTA 2023).

Research output: Chapter in Book or Conference Publication/Proceeding › Conference Publication › peer-review

TY - GEN

T1 - EHRCoI4

T2 - 3rd International Conference on Emerging Smart Technologies and Applications, eSmarTA 2023

AU - Arshad, Iram

AU - Bharatwaj K R, Roopesh

AU - Alsamhi, Saeed Hamood

AU - Curry, Edward

PY - 2023

Y1 - 2023

N2 - This paper introduces a novel, cost-effective method for enhancing human-robot collaboration in Industry 4.0 manufacturing using the OpenCV AI Kit-Lite (OAK-D-Lite). Our vision-based system employs deep learning models for realtime human detection and dynamic adjustment of robot operations, ensuring safety without needing costly Lidar sensors. We further present an autonomous system utilizing You Only Look Once (YOLO) v5 that accurately identifies, classifies, and handles workpieces, effectively reducing human intervention. We demonstrate the solutions using a Lego Mindstorm kit-based robotic arm, highlighting the flexibility and adaptability of our approach. Our research contributes significantly to safer and economically efficient AI integration in industrial settings, marking a step forward for Industry 4.0 manufacturing.

AB - This paper introduces a novel, cost-effective method for enhancing human-robot collaboration in Industry 4.0 manufacturing using the OpenCV AI Kit-Lite (OAK-D-Lite). Our vision-based system employs deep learning models for realtime human detection and dynamic adjustment of robot operations, ensuring safety without needing costly Lidar sensors. We further present an autonomous system utilizing You Only Look Once (YOLO) v5 that accurately identifies, classifies, and handles workpieces, effectively reducing human intervention. We demonstrate the solutions using a Lego Mindstorm kit-based robotic arm, highlighting the flexibility and adaptability of our approach. Our research contributes significantly to safer and economically efficient AI integration in industrial settings, marking a step forward for Industry 4.0 manufacturing.

KW - Human robots interaction

KW - In-dustry 4.0

KW - Industrial Robotics

KW - Industry 5.0

KW - Picking and placing

KW - smart environments

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U2 - 10.1109/eSmarTA59349.2023.10293744

DO - 10.1109/eSmarTA59349.2023.10293744

M3 - Conference Publication

AN - SCOPUS:85178133960

T3 - 2023 3rd International Conference on Emerging Smart Technologies and Applications, eSmarTA 2023

BT - 2023 3rd International Conference on Emerging Smart Technologies and Applications, eSmarTA 2023

PB - Institute of Electrical and Electronics Engineers Inc.

Y2 - 10 October 2023 through 11 October 2023

ER -

Arshad I, Bharatwaj K R R, Alsamhi SH, Curry E. EHRCoI4: A Novel Framework for Enhancing Human-Robot Collaboration in Industry 4.0. In 2023 3rd International Conference on Emerging Smart Technologies and Applications, eSmarTA 2023. Institute of Electrical and Electronics Engineers Inc. 2023. (2023 3rd International Conference on Emerging Smart Technologies and Applications, eSmarTA 2023). doi: 10.1109/eSmarTA59349.2023.10293744

EHRCoI4: A Novel Framework for Enhancing Human-Robot Collaboration in Industry 4.0

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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