HPC Exploration for Mobile Robotics Under Energy Constraints

Igor Albuquerque Silva; Omar Hammami

doi:10.1109/ISIE51582.2022.9831492

HPC Exploration for Mobile Robotics Under Energy Constraints

Igor Albuquerque Silva
, Omar Hammami

Computer Science
Institut Polytechnique de Paris
ENSTA ParisTech

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

1 Citation (Scopus)

Abstract

This paper aims to analyze the results of parallel algorithm implementations on mobile robots, in terms of performance and energy consumption. To do this, multiple implementations of three applications were analyzed on a Husky UGV robot: image segmentation, path planning and object recognition. Benchmarks were obtained for each application, and insights into performance-energy curves are provided for future works.

Original language	English
Title of host publication	2022 IEEE 31st International Symposium on Industrial Electronics, ISIE 2022
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	273-280
Number of pages	8
ISBN (Electronic)	9781665482400
DOIs	https://doi.org/10.1109/ISIE51582.2022.9831492
Publication status	Published - 1 Jan 2022
Externally published	Yes
Event	31st IEEE International Symposium on Industrial Electronics, ISIE 2022 - Anchorage, United States Duration: 1 Jun 2022 → 3 Jun 2022

Publication series

Name	IEEE International Symposium on Industrial Electronics
Volume	2022-June

Conference

Conference	31st IEEE International Symposium on Industrial Electronics, ISIE 2022
Country/Territory	United States
City	Anchorage
Period	1/06/22 → 3/06/22

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

Robotics
benchmark
energy
hpc
husky

Access to Document

10.1109/ISIE51582.2022.9831492

Cite this

@inproceedings{7d6a152cfdcd424e8318a2b3a024a1a6,

title = "HPC Exploration for Mobile Robotics Under Energy Constraints",

abstract = "This paper aims to analyze the results of parallel algorithm implementations on mobile robots, in terms of performance and energy consumption. To do this, multiple implementations of three applications were analyzed on a Husky UGV robot: image segmentation, path planning and object recognition. Benchmarks were obtained for each application, and insights into performance-energy curves are provided for future works.",

keywords = "Robotics, benchmark, energy, hpc, husky",

author = "Silva, \{Igor Albuquerque\} and Omar Hammami",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 31st IEEE International Symposium on Industrial Electronics, ISIE 2022 ; Conference date: 01-06-2022 Through 03-06-2022",

year = "2022",

month = jan,

day = "1",

doi = "10.1109/ISIE51582.2022.9831492",

language = "English",

series = "IEEE International Symposium on Industrial Electronics",

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

pages = "273--280",

booktitle = "2022 IEEE 31st International Symposium on Industrial Electronics, ISIE 2022",

}

Silva, IA & Hammami, O 2022, HPC Exploration for Mobile Robotics Under Energy Constraints. in 2022 IEEE 31st International Symposium on Industrial Electronics, ISIE 2022. IEEE International Symposium on Industrial Electronics, vol. 2022-June, Institute of Electrical and Electronics Engineers Inc., pp. 273-280, 31st IEEE International Symposium on Industrial Electronics, ISIE 2022, Anchorage, United States, 1/06/22. https://doi.org/10.1109/ISIE51582.2022.9831492

HPC Exploration for Mobile Robotics Under Energy Constraints. / Silva, Igor Albuquerque; Hammami, Omar.
2022 IEEE 31st International Symposium on Industrial Electronics, ISIE 2022. Institute of Electrical and Electronics Engineers Inc., 2022. p. 273-280 (IEEE International Symposium on Industrial Electronics; Vol. 2022-June).

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

TY - GEN

T1 - HPC Exploration for Mobile Robotics Under Energy Constraints

AU - Silva, Igor Albuquerque

AU - Hammami, Omar

PY - 2022/1/1

Y1 - 2022/1/1

N2 - This paper aims to analyze the results of parallel algorithm implementations on mobile robots, in terms of performance and energy consumption. To do this, multiple implementations of three applications were analyzed on a Husky UGV robot: image segmentation, path planning and object recognition. Benchmarks were obtained for each application, and insights into performance-energy curves are provided for future works.

AB - This paper aims to analyze the results of parallel algorithm implementations on mobile robots, in terms of performance and energy consumption. To do this, multiple implementations of three applications were analyzed on a Husky UGV robot: image segmentation, path planning and object recognition. Benchmarks were obtained for each application, and insights into performance-energy curves are provided for future works.

KW - Robotics

KW - benchmark

KW - energy

KW - hpc

KW - husky

U2 - 10.1109/ISIE51582.2022.9831492

DO - 10.1109/ISIE51582.2022.9831492

M3 - Conference contribution

AN - SCOPUS:85135840796

T3 - IEEE International Symposium on Industrial Electronics

SP - 273

EP - 280

BT - 2022 IEEE 31st International Symposium on Industrial Electronics, ISIE 2022

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 31st IEEE International Symposium on Industrial Electronics, ISIE 2022

Y2 - 1 June 2022 through 3 June 2022

ER -

HPC Exploration for Mobile Robotics Under Energy Constraints

Abstract

Publication series

Conference

UN SDGs

Keywords

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