Topological Twin for Mobility Support Robots

Fernando Ardilla; Azhar Aulia Saputra; Adnan Rachmat Anom Besari; Doteguchi Naoki; Oshio Kohei; Takenori Obo; Naoyuki Kubota

doi:10.1109/WF-IoT54382.2022.10152223

Topological Twin for Mobility Support Robots

Fernando Ardilla
, Azhar Aulia Saputra
, Adnan Rachmat Anom Besari
, Doteguchi Naoki
, Oshio Kohei
, Takenori Obo
, Naoyuki Kubota

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

5 Scopus citations

Abstract

Recently, the concept of Cyber-physical Systems has been extended with the technological development on the Internet of Things and Machine Learning. Furthermore, Cyber-physical Systems have been successfully applied to Mobility as a Service (MaaS) and Robotics as a Service (RaaS). Especially, we have to improve the performance of human behavior prediction to deal with the safety of people and the performance of systems simultaneously in both MaaS and RaaS. However, the computational cost is very expensive to estimate and predict human behaviors. In order to reduce the computational cost, we have proposed various methods based on the concept of Topological Twin. In this paper, we discuss the methodology on topological twin for mobility support robots shared in the research on both MaaS and RaaS. First, we explain the concept of topological twin and its related methods on growing neural gas. Next, we show several preliminary experimental results.

Original language	English
Title of host publication	2022 IEEE 8th World Forum on Internet of Things, WF-IoT 2022
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781665491532
DOIs	https://doi.org/10.1109/WF-IoT54382.2022.10152223
State	Published - 2022
Externally published	Yes
Event	8th IEEE World Forum on Internet of Things, WF-IoT 2022 - Hybrid, Yokohama, Japan Duration: 26 Oct 2022 → 11 Nov 2022

Publication series

Name	2022 IEEE 8th World Forum on Internet of Things, WF-IoT 2022

Conference

Conference	8th IEEE World Forum on Internet of Things, WF-IoT 2022
Country/Territory	Japan
City	Hybrid, Yokohama
Period	26/10/22 → 11/11/22

Bibliographical note

Publisher Copyright:
© 2022 IEEE.

Keywords

Internet of Things
Machine Learning
Mobility Support Robots
Topological Mapping

ASJC Scopus subject areas

Computer Networks and Communications
Hardware and Architecture
Information Systems
Information Systems and Management
Energy Engineering and Power Technology

Access to Document

10.1109/WF-IoT54382.2022.10152223

Cite this

Ardilla, F., Saputra, A. A., Besari, A. R. A., Naoki, D., Kohei, O., Obo, T., & Kubota, N. (2022). Topological Twin for Mobility Support Robots. In 2022 IEEE 8th World Forum on Internet of Things, WF-IoT 2022 (2022 IEEE 8th World Forum on Internet of Things, WF-IoT 2022). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/WF-IoT54382.2022.10152223

@inproceedings{ac0c606d62d348fc916b2cdecc721976,

title = "Topological Twin for Mobility Support Robots",

abstract = "Recently, the concept of Cyber-physical Systems has been extended with the technological development on the Internet of Things and Machine Learning. Furthermore, Cyber-physical Systems have been successfully applied to Mobility as a Service (MaaS) and Robotics as a Service (RaaS). Especially, we have to improve the performance of human behavior prediction to deal with the safety of people and the performance of systems simultaneously in both MaaS and RaaS. However, the computational cost is very expensive to estimate and predict human behaviors. In order to reduce the computational cost, we have proposed various methods based on the concept of Topological Twin. In this paper, we discuss the methodology on topological twin for mobility support robots shared in the research on both MaaS and RaaS. First, we explain the concept of topological twin and its related methods on growing neural gas. Next, we show several preliminary experimental results.",

keywords = "Internet of Things, Machine Learning, Mobility Support Robots, Topological Mapping",

author = "Fernando Ardilla and Saputra, \{Azhar Aulia\} and Besari, \{Adnan Rachmat Anom\} and Doteguchi Naoki and Oshio Kohei and Takenori Obo and Naoyuki Kubota",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 8th IEEE World Forum on Internet of Things, WF-IoT 2022 ; Conference date: 26-10-2022 Through 11-11-2022",

year = "2022",

doi = "10.1109/WF-IoT54382.2022.10152223",

language = "English",

series = "2022 IEEE 8th World Forum on Internet of Things, WF-IoT 2022",

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

booktitle = "2022 IEEE 8th World Forum on Internet of Things, WF-IoT 2022",

address = "United States",

}

Ardilla, F, Saputra, AA, Besari, ARA, Naoki, D, Kohei, O, Obo, T & Kubota, N 2022, Topological Twin for Mobility Support Robots. in 2022 IEEE 8th World Forum on Internet of Things, WF-IoT 2022. 2022 IEEE 8th World Forum on Internet of Things, WF-IoT 2022, Institute of Electrical and Electronics Engineers Inc., 8th IEEE World Forum on Internet of Things, WF-IoT 2022, Hybrid, Yokohama, Japan, 26/10/22. https://doi.org/10.1109/WF-IoT54382.2022.10152223

Topological Twin for Mobility Support Robots. / Ardilla, Fernando; Saputra, Azhar Aulia; Besari, Adnan Rachmat Anom et al.
2022 IEEE 8th World Forum on Internet of Things, WF-IoT 2022. Institute of Electrical and Electronics Engineers Inc., 2022. (2022 IEEE 8th World Forum on Internet of Things, WF-IoT 2022).

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

TY - GEN

T1 - Topological Twin for Mobility Support Robots

AU - Ardilla, Fernando

AU - Saputra, Azhar Aulia

AU - Besari, Adnan Rachmat Anom

AU - Naoki, Doteguchi

AU - Kohei, Oshio

AU - Obo, Takenori

AU - Kubota, Naoyuki

PY - 2022

Y1 - 2022

N2 - Recently, the concept of Cyber-physical Systems has been extended with the technological development on the Internet of Things and Machine Learning. Furthermore, Cyber-physical Systems have been successfully applied to Mobility as a Service (MaaS) and Robotics as a Service (RaaS). Especially, we have to improve the performance of human behavior prediction to deal with the safety of people and the performance of systems simultaneously in both MaaS and RaaS. However, the computational cost is very expensive to estimate and predict human behaviors. In order to reduce the computational cost, we have proposed various methods based on the concept of Topological Twin. In this paper, we discuss the methodology on topological twin for mobility support robots shared in the research on both MaaS and RaaS. First, we explain the concept of topological twin and its related methods on growing neural gas. Next, we show several preliminary experimental results.

AB - Recently, the concept of Cyber-physical Systems has been extended with the technological development on the Internet of Things and Machine Learning. Furthermore, Cyber-physical Systems have been successfully applied to Mobility as a Service (MaaS) and Robotics as a Service (RaaS). Especially, we have to improve the performance of human behavior prediction to deal with the safety of people and the performance of systems simultaneously in both MaaS and RaaS. However, the computational cost is very expensive to estimate and predict human behaviors. In order to reduce the computational cost, we have proposed various methods based on the concept of Topological Twin. In this paper, we discuss the methodology on topological twin for mobility support robots shared in the research on both MaaS and RaaS. First, we explain the concept of topological twin and its related methods on growing neural gas. Next, we show several preliminary experimental results.

KW - Internet of Things

KW - Machine Learning

KW - Mobility Support Robots

KW - Topological Mapping

UR - https://www.scopus.com/pages/publications/85164110478

U2 - 10.1109/WF-IoT54382.2022.10152223

DO - 10.1109/WF-IoT54382.2022.10152223

M3 - Conference contribution

AN - SCOPUS:85164110478

T3 - 2022 IEEE 8th World Forum on Internet of Things, WF-IoT 2022

BT - 2022 IEEE 8th World Forum on Internet of Things, WF-IoT 2022

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 8th IEEE World Forum on Internet of Things, WF-IoT 2022

Y2 - 26 October 2022 through 11 November 2022

ER -

Topological Twin for Mobility Support Robots

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

Fingerprint

Cite this