Autonomous Multi-Robot Collaboration in Virtual Environments to Perform Tasks in Industry 4.0

Saeed Hamood Alsamhi; A. A.F. Saif; Edward Curry; Santosh Kumar; Ammar Hawbani

doi:10.1109/eSmarTA56775.2022.9935421

Autonomous Multi-Robot Collaboration in Virtual Environments to Perform Tasks in Industry 4.0

Saeed Hamood Alsamhi
, A. A.F. Saif
, Edward Curry
, Santosh Kumar
, Ammar Hawbani

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

9 Citations (Scopus)

Abstract

In Industry 4.0, multi-robot efficient coordination is a critical enabler for many commercial and industrial automation activities. This paper describes how a group of robots may dynamically produce actions from a common. We focus on examining the performance of autonomous multi-robot collaboration effectively and efficiently to achieve a common task and plan for the action of future task allocation dynamically, autonomously, and in a decentralized fashion. The common goal for multi-robots here is to bring the ball from the current position to predefine the desk target. Unreal Engine (UE4) is used for designing and implementing the platform of robots. The results show significant achievement in accurate trajectories for the ball taken via multi-robot collaboration in an autonomous and decentralized fashion. As a result, multi-robot collaboration can be available for numerous applications in Industry 4.0, warehouse automation, transport, risky environments, search and rescue (SAR) teams, and disaster recovery.

Original language	English
Title of host publication	2022 2nd International Conference on Emerging Smart Technologies and Applications, eSmarTA 2022
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781665461818
DOIs	https://doi.org/10.1109/eSmarTA56775.2022.9935421
Publication status	Published - 2022
Event	2nd International Conference on Emerging Smart Technologies and Applications, eSmarTA 2022 - Ibb, Yemen Duration: 25 Oct 2022 → 26 Oct 2022

Publication series

Name	2022 2nd International Conference on Emerging Smart Technologies and Applications, eSmarTA 2022

Conference

Conference	2nd International Conference on Emerging Smart Technologies and Applications, eSmarTA 2022
Country/Territory	Yemen
City	Ibb
Period	25/10/22 → 26/10/22

UN SDGs

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

SDG 9 Industry, Innovation, and Infrastructure

Keywords

collaboration
decentralization
multi-robot
task allocation
UE4

Access to Document

10.1109/eSmarTA56775.2022.9935421

Cite this

Alsamhi, S. H., Saif, A. A. F., Curry, E., Kumar, S., & Hawbani, A. (2022). Autonomous Multi-Robot Collaboration in Virtual Environments to Perform Tasks in Industry 4.0. In 2022 2nd International Conference on Emerging Smart Technologies and Applications, eSmarTA 2022 (2022 2nd International Conference on Emerging Smart Technologies and Applications, eSmarTA 2022). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/eSmarTA56775.2022.9935421

Alsamhi, Saeed Hamood ; Saif, A. A.F. ; Curry, Edward et al. / Autonomous Multi-Robot Collaboration in Virtual Environments to Perform Tasks in Industry 4.0. 2022 2nd International Conference on Emerging Smart Technologies and Applications, eSmarTA 2022. Institute of Electrical and Electronics Engineers Inc., 2022. (2022 2nd International Conference on Emerging Smart Technologies and Applications, eSmarTA 2022).

@inproceedings{b42647a9b43b4ed7b55528a69f06a1a5,

title = "Autonomous Multi-Robot Collaboration in Virtual Environments to Perform Tasks in Industry 4.0",

abstract = "In Industry 4.0, multi-robot efficient coordination is a critical enabler for many commercial and industrial automation activities. This paper describes how a group of robots may dynamically produce actions from a common. We focus on examining the performance of autonomous multi-robot collaboration effectively and efficiently to achieve a common task and plan for the action of future task allocation dynamically, autonomously, and in a decentralized fashion. The common goal for multi-robots here is to bring the ball from the current position to predefine the desk target. Unreal Engine (UE4) is used for designing and implementing the platform of robots. The results show significant achievement in accurate trajectories for the ball taken via multi-robot collaboration in an autonomous and decentralized fashion. As a result, multi-robot collaboration can be available for numerous applications in Industry 4.0, warehouse automation, transport, risky environments, search and rescue (SAR) teams, and disaster recovery.",

keywords = "collaboration, decentralization, multi-robot, task allocation, UE4",

author = "Alsamhi, \{Saeed Hamood\} and Saif, \{A. A.F.\} and Edward Curry and Santosh Kumar and Ammar Hawbani",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 2nd International Conference on Emerging Smart Technologies and Applications, eSmarTA 2022 ; Conference date: 25-10-2022 Through 26-10-2022",

year = "2022",

doi = "10.1109/eSmarTA56775.2022.9935421",

language = "English",

series = "2022 2nd International Conference on Emerging Smart Technologies and Applications, eSmarTA 2022",

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

booktitle = "2022 2nd International Conference on Emerging Smart Technologies and Applications, eSmarTA 2022",

}

Alsamhi, SH, Saif, AAF, Curry, E, Kumar, S & Hawbani, A 2022, Autonomous Multi-Robot Collaboration in Virtual Environments to Perform Tasks in Industry 4.0. in 2022 2nd International Conference on Emerging Smart Technologies and Applications, eSmarTA 2022. 2022 2nd International Conference on Emerging Smart Technologies and Applications, eSmarTA 2022, Institute of Electrical and Electronics Engineers Inc., 2nd International Conference on Emerging Smart Technologies and Applications, eSmarTA 2022, Ibb, Yemen, 25/10/22. https://doi.org/10.1109/eSmarTA56775.2022.9935421

Autonomous Multi-Robot Collaboration in Virtual Environments to Perform Tasks in Industry 4.0. / Alsamhi, Saeed Hamood; Saif, A. A.F.; Curry, Edward et al.
2022 2nd International Conference on Emerging Smart Technologies and Applications, eSmarTA 2022. Institute of Electrical and Electronics Engineers Inc., 2022. (2022 2nd International Conference on Emerging Smart Technologies and Applications, eSmarTA 2022).

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

TY - GEN

T1 - Autonomous Multi-Robot Collaboration in Virtual Environments to Perform Tasks in Industry 4.0

AU - Alsamhi, Saeed Hamood

AU - Saif, A. A.F.

AU - Curry, Edward

AU - Kumar, Santosh

AU - Hawbani, Ammar

PY - 2022

Y1 - 2022

N2 - In Industry 4.0, multi-robot efficient coordination is a critical enabler for many commercial and industrial automation activities. This paper describes how a group of robots may dynamically produce actions from a common. We focus on examining the performance of autonomous multi-robot collaboration effectively and efficiently to achieve a common task and plan for the action of future task allocation dynamically, autonomously, and in a decentralized fashion. The common goal for multi-robots here is to bring the ball from the current position to predefine the desk target. Unreal Engine (UE4) is used for designing and implementing the platform of robots. The results show significant achievement in accurate trajectories for the ball taken via multi-robot collaboration in an autonomous and decentralized fashion. As a result, multi-robot collaboration can be available for numerous applications in Industry 4.0, warehouse automation, transport, risky environments, search and rescue (SAR) teams, and disaster recovery.

AB - In Industry 4.0, multi-robot efficient coordination is a critical enabler for many commercial and industrial automation activities. This paper describes how a group of robots may dynamically produce actions from a common. We focus on examining the performance of autonomous multi-robot collaboration effectively and efficiently to achieve a common task and plan for the action of future task allocation dynamically, autonomously, and in a decentralized fashion. The common goal for multi-robots here is to bring the ball from the current position to predefine the desk target. Unreal Engine (UE4) is used for designing and implementing the platform of robots. The results show significant achievement in accurate trajectories for the ball taken via multi-robot collaboration in an autonomous and decentralized fashion. As a result, multi-robot collaboration can be available for numerous applications in Industry 4.0, warehouse automation, transport, risky environments, search and rescue (SAR) teams, and disaster recovery.

KW - collaboration

KW - decentralization

KW - multi-robot

KW - task allocation

KW - UE4

UR - https://www.scopus.com/pages/publications/85142422479

U2 - 10.1109/eSmarTA56775.2022.9935421

DO - 10.1109/eSmarTA56775.2022.9935421

M3 - Conference Publication

AN - SCOPUS:85142422479

T3 - 2022 2nd International Conference on Emerging Smart Technologies and Applications, eSmarTA 2022

BT - 2022 2nd International Conference on Emerging Smart Technologies and Applications, eSmarTA 2022

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2nd International Conference on Emerging Smart Technologies and Applications, eSmarTA 2022

Y2 - 25 October 2022 through 26 October 2022

ER -

Alsamhi SH, Saif AAF, Curry E, Kumar S, Hawbani A. Autonomous Multi-Robot Collaboration in Virtual Environments to Perform Tasks in Industry 4.0. In 2022 2nd International Conference on Emerging Smart Technologies and Applications, eSmarTA 2022. Institute of Electrical and Electronics Engineers Inc. 2022. (2022 2nd International Conference on Emerging Smart Technologies and Applications, eSmarTA 2022). doi: 10.1109/eSmarTA56775.2022.9935421

Autonomous Multi-Robot Collaboration in Virtual Environments to Perform Tasks in Industry 4.0

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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