Perceptual System of a Mobile Robot for Autonomous Adaptation to Environmental Changes

Masaya Shoji; Azhar Aulia Saputra; Takenori Obo; Naoyuki Kubota

doi:10.1109/FUZZ52849.2023.10309698

Perceptual System of a Mobile Robot for Autonomous Adaptation to Environmental Changes

Masaya Shoji
, Azhar Aulia Saputra
, Takenori Obo
, Naoyuki Kubota

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

Abstract

In the 'ultra-smart society', which aims for symbiosis between humans and robots, mobile robots that can move freely in a variety of environments are expected. However, the appropriate parameters for any navigation method depend on the characteristics of the environment and often need to be adjusted to the environment in which it is implemented. Especially in dynamic environments that include pedestrians, avoidance is difficult and it cannot be handled only by adjusting parameters. Therefore, we propose a perceptual system for a mobile robot that can autonomously adapt to environmental changes by adjusting internal parameters based on perceptual information obtained by the robot in environments with multiple different characteristics, such as a space where many pedestrians freely pass by and a complex space with many obstacles.

Original language	English
Title of host publication	2023 IEEE International Conference on Fuzzy Systems, FUZZ 2023
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9798350332285
DOIs	https://doi.org/10.1109/FUZZ52849.2023.10309698
State	Published - 2023
Externally published	Yes
Event	2023 IEEE International Conference on Fuzzy Systems, FUZZ 2023 - Incheon, Korea, Republic of Duration: 13 Aug 2023 → 17 Aug 2023

Publication series

Name	IEEE International Conference on Fuzzy Systems
ISSN (Print)	1098-7584

Conference

Conference	2023 IEEE International Conference on Fuzzy Systems, FUZZ 2023
Country/Territory	Korea, Republic of
City	Incheon
Period	13/08/23 → 17/08/23

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

Keywords

autonomous adaptation
fuzzy-based intelligent robotic system
mobile robot
navigation
perceptual system

ASJC Scopus subject areas

Software
Theoretical Computer Science
Artificial Intelligence
Applied Mathematics

Access to Document

10.1109/FUZZ52849.2023.10309698

Cite this

@inproceedings{22129c5aa573437f853cf5d2458633b7,

title = "Perceptual System of a Mobile Robot for Autonomous Adaptation to Environmental Changes",

abstract = "In the 'ultra-smart society', which aims for symbiosis between humans and robots, mobile robots that can move freely in a variety of environments are expected. However, the appropriate parameters for any navigation method depend on the characteristics of the environment and often need to be adjusted to the environment in which it is implemented. Especially in dynamic environments that include pedestrians, avoidance is difficult and it cannot be handled only by adjusting parameters. Therefore, we propose a perceptual system for a mobile robot that can autonomously adapt to environmental changes by adjusting internal parameters based on perceptual information obtained by the robot in environments with multiple different characteristics, such as a space where many pedestrians freely pass by and a complex space with many obstacles.",

keywords = "autonomous adaptation, fuzzy-based intelligent robotic system, mobile robot, navigation, perceptual system",

author = "Masaya Shoji and Saputra, \{Azhar Aulia\} and Takenori Obo and Naoyuki Kubota",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 IEEE International Conference on Fuzzy Systems, FUZZ 2023 ; Conference date: 13-08-2023 Through 17-08-2023",

year = "2023",

doi = "10.1109/FUZZ52849.2023.10309698",

language = "English",

series = "IEEE International Conference on Fuzzy Systems",

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

booktitle = "2023 IEEE International Conference on Fuzzy Systems, FUZZ 2023",

address = "United States",

}

Shoji, M, Saputra, AA, Obo, T & Kubota, N 2023, Perceptual System of a Mobile Robot for Autonomous Adaptation to Environmental Changes. in 2023 IEEE International Conference on Fuzzy Systems, FUZZ 2023. IEEE International Conference on Fuzzy Systems, Institute of Electrical and Electronics Engineers Inc., 2023 IEEE International Conference on Fuzzy Systems, FUZZ 2023, Incheon, Korea, Republic of, 13/08/23. https://doi.org/10.1109/FUZZ52849.2023.10309698

Perceptual System of a Mobile Robot for Autonomous Adaptation to Environmental Changes. / Shoji, Masaya; Saputra, Azhar Aulia; Obo, Takenori et al.
2023 IEEE International Conference on Fuzzy Systems, FUZZ 2023. Institute of Electrical and Electronics Engineers Inc., 2023. (IEEE International Conference on Fuzzy Systems).

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

TY - GEN

T1 - Perceptual System of a Mobile Robot for Autonomous Adaptation to Environmental Changes

AU - Shoji, Masaya

AU - Saputra, Azhar Aulia

AU - Obo, Takenori

AU - Kubota, Naoyuki

PY - 2023

Y1 - 2023

N2 - In the 'ultra-smart society', which aims for symbiosis between humans and robots, mobile robots that can move freely in a variety of environments are expected. However, the appropriate parameters for any navigation method depend on the characteristics of the environment and often need to be adjusted to the environment in which it is implemented. Especially in dynamic environments that include pedestrians, avoidance is difficult and it cannot be handled only by adjusting parameters. Therefore, we propose a perceptual system for a mobile robot that can autonomously adapt to environmental changes by adjusting internal parameters based on perceptual information obtained by the robot in environments with multiple different characteristics, such as a space where many pedestrians freely pass by and a complex space with many obstacles.

AB - In the 'ultra-smart society', which aims for symbiosis between humans and robots, mobile robots that can move freely in a variety of environments are expected. However, the appropriate parameters for any navigation method depend on the characteristics of the environment and often need to be adjusted to the environment in which it is implemented. Especially in dynamic environments that include pedestrians, avoidance is difficult and it cannot be handled only by adjusting parameters. Therefore, we propose a perceptual system for a mobile robot that can autonomously adapt to environmental changes by adjusting internal parameters based on perceptual information obtained by the robot in environments with multiple different characteristics, such as a space where many pedestrians freely pass by and a complex space with many obstacles.

KW - autonomous adaptation

KW - fuzzy-based intelligent robotic system

KW - mobile robot

KW - navigation

KW - perceptual system

UR - https://www.scopus.com/pages/publications/85178520025

U2 - 10.1109/FUZZ52849.2023.10309698

DO - 10.1109/FUZZ52849.2023.10309698

M3 - Conference contribution

AN - SCOPUS:85178520025

T3 - IEEE International Conference on Fuzzy Systems

BT - 2023 IEEE International Conference on Fuzzy Systems, FUZZ 2023

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2023 IEEE International Conference on Fuzzy Systems, FUZZ 2023

Y2 - 13 August 2023 through 17 August 2023

ER -

Perceptual System of a Mobile Robot for Autonomous Adaptation to Environmental Changes

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this