Multi-UGV Experimental Platform Based on Cloud and Edge Control: Design and Implementation

Rui Hu; Yuanqing Xia; Min Lin; Shuang Wu

doi:10.1109/ICUS48101.2019.8995965

Multi-UGV Experimental Platform Based on Cloud and Edge Control: Design and Implementation

Rui Hu, Yuanqing Xia, Min Lin, Shuang Wu

Beijing Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Citation (Scopus)

Abstract

This paper presents a novel framework of a multi-UGV experimental platform based on cloud and edge control. Cloud control is introduced to the framework aiming at the problems caused by increasing amount of data as the number of UGV increases. In order to ensure the real-time control, edge control is also adopted in the framework. In addition, cloud workflow scheduling is considered in this paper, which involves finding the optimal mapping between computing resources and work tasks. An experiment of consensus-based dynamic role assignment was implemented on the designed platform to verify the feasibility and reliability in multi-UGV control.

Original language	English
Title of host publication	Proceedings of the 2019 IEEE International Conference on Unmanned Systems, ICUS 2019
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	854-859
Number of pages	6
ISBN (Electronic)	9781728137926
DOIs	https://doi.org/10.1109/ICUS48101.2019.8995965
Publication status	Published - Oct 2019
Event	2019 IEEE International Conference on Unmanned Systems, ICUS 2019 - Beijing, China Duration: 17 Oct 2019 → 19 Oct 2019

Publication series

Name	Proceedings of the 2019 IEEE International Conference on Unmanned Systems, ICUS 2019

Conference

Conference	2019 IEEE International Conference on Unmanned Systems, ICUS 2019
Country/Territory	China
City	Beijing
Period	17/10/19 → 19/10/19

Keywords

cloud and edge control
experimental platform
multi-UGV

Access to Document

10.1109/ICUS48101.2019.8995965

Cite this

Hu, R., Xia, Y., Lin, M., & Wu, S. (2019). Multi-UGV Experimental Platform Based on Cloud and Edge Control: Design and Implementation. In Proceedings of the 2019 IEEE International Conference on Unmanned Systems, ICUS 2019 (pp. 854-859). Article 8995965 (Proceedings of the 2019 IEEE International Conference on Unmanned Systems, ICUS 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICUS48101.2019.8995965

Hu, Rui ; Xia, Yuanqing ; Lin, Min et al. / Multi-UGV Experimental Platform Based on Cloud and Edge Control : Design and Implementation. Proceedings of the 2019 IEEE International Conference on Unmanned Systems, ICUS 2019. Institute of Electrical and Electronics Engineers Inc., 2019. pp. 854-859 (Proceedings of the 2019 IEEE International Conference on Unmanned Systems, ICUS 2019).

@inproceedings{38a46bd8e73b4855adc7e717fa5cc8d6,

title = "Multi-UGV Experimental Platform Based on Cloud and Edge Control: Design and Implementation",

abstract = "This paper presents a novel framework of a multi-UGV experimental platform based on cloud and edge control. Cloud control is introduced to the framework aiming at the problems caused by increasing amount of data as the number of UGV increases. In order to ensure the real-time control, edge control is also adopted in the framework. In addition, cloud workflow scheduling is considered in this paper, which involves finding the optimal mapping between computing resources and work tasks. An experiment of consensus-based dynamic role assignment was implemented on the designed platform to verify the feasibility and reliability in multi-UGV control.",

keywords = "cloud and edge control, experimental platform, multi-UGV",

author = "Rui Hu and Yuanqing Xia and Min Lin and Shuang Wu",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 2019 IEEE International Conference on Unmanned Systems, ICUS 2019 ; Conference date: 17-10-2019 Through 19-10-2019",

year = "2019",

month = oct,

doi = "10.1109/ICUS48101.2019.8995965",

language = "English",

series = "Proceedings of the 2019 IEEE International Conference on Unmanned Systems, ICUS 2019",

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

pages = "854--859",

booktitle = "Proceedings of the 2019 IEEE International Conference on Unmanned Systems, ICUS 2019",

address = "United States",

}

Hu, R, Xia, Y, Lin, M & Wu, S 2019, Multi-UGV Experimental Platform Based on Cloud and Edge Control: Design and Implementation. in Proceedings of the 2019 IEEE International Conference on Unmanned Systems, ICUS 2019., 8995965, Proceedings of the 2019 IEEE International Conference on Unmanned Systems, ICUS 2019, Institute of Electrical and Electronics Engineers Inc., pp. 854-859, 2019 IEEE International Conference on Unmanned Systems, ICUS 2019, Beijing, China, 17/10/19. https://doi.org/10.1109/ICUS48101.2019.8995965

Multi-UGV Experimental Platform Based on Cloud and Edge Control: Design and Implementation. / Hu, Rui; Xia, Yuanqing; Lin, Min et al.
Proceedings of the 2019 IEEE International Conference on Unmanned Systems, ICUS 2019. Institute of Electrical and Electronics Engineers Inc., 2019. p. 854-859 8995965 (Proceedings of the 2019 IEEE International Conference on Unmanned Systems, ICUS 2019).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Multi-UGV Experimental Platform Based on Cloud and Edge Control

T2 - 2019 IEEE International Conference on Unmanned Systems, ICUS 2019

AU - Hu, Rui

AU - Xia, Yuanqing

AU - Lin, Min

AU - Wu, Shuang

PY - 2019/10

Y1 - 2019/10

N2 - This paper presents a novel framework of a multi-UGV experimental platform based on cloud and edge control. Cloud control is introduced to the framework aiming at the problems caused by increasing amount of data as the number of UGV increases. In order to ensure the real-time control, edge control is also adopted in the framework. In addition, cloud workflow scheduling is considered in this paper, which involves finding the optimal mapping between computing resources and work tasks. An experiment of consensus-based dynamic role assignment was implemented on the designed platform to verify the feasibility and reliability in multi-UGV control.

AB - This paper presents a novel framework of a multi-UGV experimental platform based on cloud and edge control. Cloud control is introduced to the framework aiming at the problems caused by increasing amount of data as the number of UGV increases. In order to ensure the real-time control, edge control is also adopted in the framework. In addition, cloud workflow scheduling is considered in this paper, which involves finding the optimal mapping between computing resources and work tasks. An experiment of consensus-based dynamic role assignment was implemented on the designed platform to verify the feasibility and reliability in multi-UGV control.

KW - cloud and edge control

KW - experimental platform

KW - multi-UGV

UR - http://www.scopus.com/inward/record.url?scp=85080965790&partnerID=8YFLogxK

U2 - 10.1109/ICUS48101.2019.8995965

DO - 10.1109/ICUS48101.2019.8995965

M3 - Conference contribution

AN - SCOPUS:85080965790

T3 - Proceedings of the 2019 IEEE International Conference on Unmanned Systems, ICUS 2019

SP - 854

EP - 859

BT - Proceedings of the 2019 IEEE International Conference on Unmanned Systems, ICUS 2019

PB - Institute of Electrical and Electronics Engineers Inc.

Y2 - 17 October 2019 through 19 October 2019

ER -

Hu R, Xia Y, Lin M, Wu S. Multi-UGV Experimental Platform Based on Cloud and Edge Control: Design and Implementation. In Proceedings of the 2019 IEEE International Conference on Unmanned Systems, ICUS 2019. Institute of Electrical and Electronics Engineers Inc. 2019. p. 854-859. 8995965. (Proceedings of the 2019 IEEE International Conference on Unmanned Systems, ICUS 2019). doi: 10.1109/ICUS48101.2019.8995965

Multi-UGV Experimental Platform Based on Cloud and Edge Control: Design and Implementation

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this