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Other IDs

Scopus Author ID: 56031510100
Researcher Name Resolver ID: 1000040780424

Keywords

Robotics, Machine Learning, Control Engineering, Power Line Communication, Embedded Systems, Auto Code-Generation, Smart Agri, Smart Elderly Watching System

Countries

Japan

Activities

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Employment (6)

National Institute of Technology, Tomakomai College: Tomakomai, Hokkaido, JP

2024-04-01 to present | Associate Professor (Department of Engineering for Innovation, Division of Computer Science and Engineering)
Employment
Source: Self-asserted source
Masashi Sugimoto

Tokyo University of Agriculture: Tokyo, JP

2024-04-01 to 2025-03-31 | Guest Researcher (Laboratory of Bio-Robotics, Department of Bioproduction and Environment Engineering, Faculty of Regional Environment Science)
Employment
Source: Self-asserted source
Masashi Sugimoto

National Institute of Technology, Tomakomai College: Tomakomai City, Hokkaido, JP

2022-04-01 to 2024-03-31 | Assistant Professor (Department of Engineering for Innovation, Division of Computer Science and Engineering)
Employment
Source: Self-asserted source
Masashi Sugimoto

Ehime University: Matsuyama City, Ehime, JP

2019-12-04 to 2022-03-31 | Concurrent Teacher, Leader of IoT group, affiliated with Department of Sensing Technology. (Innovation Center for Sensing and Analysis of Infrastructure (i-SAIN))
Employment
Source: Self-asserted source
Masashi Sugimoto

Ehime University: Matsuyama City, Ehime Pref., JP

2019-04-01 to 2022-03-31 | Assistant Professor (Electrical and Electronic Engineering and Computer Science, Graduate School of Science and Engineering)
Employment
Source: Self-asserted source
Masashi Sugimoto

National Institute of Technology, Kagawa College: Mitoyo, Kagawa Pref., JP

2016-04-01 to 2019-03-31 | Assistant Professor (Department of Electronic Systems Engineering)
Employment
Source: Self-asserted source
Masashi Sugimoto

Education and qualifications (4)

Muroran Institute of Technology: Muroran, Hokkaido, JP

2013-04-01 to 2016-03-31 | Ph.D. in Engineering (Production and Information Systems Engineering)
Education
Source: Self-asserted source
Masashi Sugimoto

Muroran Institute of Technology: Muroran, Hokkaido, JP

2011-04-01 to 2013-03-31 | Master of Engineering (Division of Information and Electronic Engineering)
Education
Source: Self-asserted source
Masashi Sugimoto

Tomakomai National College of Technology: Tomakomai, Hokkaido, JP

2009-04-01 to 2011-03-31 | B. A. in Information Engineering (Electronics and Production Systems Engineering Course, The Advances Engineering Courses)
Education
Source: Self-asserted source
Masashi Sugimoto

Tomakomai National College of Technology: Tomakomai, Hokkaido, JP

2004-04-01 to 2009-03-31 | Foundation Degree (Department of Computer Science & Engineering)
Education
Source: Self-asserted source
Masashi Sugimoto

Professional activities (16)

Association for Computing Machinery: New York, New York, US

2021-03 to present
Membership
Source: Self-asserted source
Masashi Sugimoto

IGI Global (United States): Hershey, Pennsylvania, US

2020-01-07 to present | Ad-hoc Reviewer (International Journal of Artificial Intelligence and Machine Learning (IJAIML) )
Service
Source: Self-asserted source
Masashi Sugimoto

Society of Digital Information and Wireless Communication: Kowloon, HK

2019-11-01 to present | Reviewer Committee (International Journal of New Computer Architectures and their Applications (IJNCAA))
Service
Source: Self-asserted source
Masashi Sugimoto

The Institute of Electronics, Information and Communication Engineers: Minato, Tokyo, JP

2019-05-01 to present
Membership
Source: Self-asserted source
Masashi Sugimoto

IGI Global (United States): Hershey, Pennsylvania, US

2019-04-01 to present | Ad-hoc Reviewer (International Journal of Distributed Artificial Intelligence (IJDAI))
Service
Source: Self-asserted source
Masashi Sugimoto

The Institute of Electrical Engineers of Japan: Chiyoda, Tokyo, JP

2019-04-01 to present
Service
Source: Self-asserted source
Masashi Sugimoto

Society of Digital Information and Wireless Communication: Kowloon, HK

2018-11-01 to present | Reviewer Committee ( "The International Journal of New Computer Architectures and their Applications (IJNCAA))
Service
Source: Self-asserted source
Masashi Sugimoto

the Institute of Electrical Engineers of Japan: Tokyo, JP

2016-11-01 to present | Reviewer (The transactions of the Institute of Electrical Engineers of Japan)
Service
Source: Self-asserted source
Masashi Sugimoto

Japanese Society for Engineering Education: Minato-ku, Tokyo, JP

2016-04-01 to present
Service
Source: Self-asserted source
Masashi Sugimoto

IEEE: New York, NY, US

2015-01-01 to present
Service
Source: Self-asserted source
Masashi Sugimoto

Robotics Society of Japan: Bunkyo-ku, Tokyo, JP

2012-07 to present
Service
Source: Self-asserted source
Masashi Sugimoto

The Japan Society for Precision Engineering: Chiyoda-ku, Tokyo, JP

2009-09-01 to present
Service
Source: Self-asserted source
Masashi Sugimoto

IEEE: Piscataway, NJ, US

2019-10 to 2019-11 | Reviewer (Tutorial submission) (IEEE ICRA 2020)
Service
Source: Self-asserted source
Masashi Sugimoto

Society of Digital Information and Wireless Communication: Kowloon, HK

2019-05-01 to 2019-07-21 | Reviewer Committee (The Fifth International Conference on Electronics and Software Science ICESS2019)
Service
Source: Self-asserted source
Masashi Sugimoto

IEEE Robotics and Automation Society: Piscataway, NJ, US

2018-03-01 to 2018-03-31 | Reviewer (IROS2018)
Service
Source: Self-asserted source
Masashi Sugimoto

Society of Digital Information and Wireless Communication: Kowloon, HK

2016-11-14 to 2016-11-14 | Session Chair (Information Systems and Network Security, Medical Engineering / Automobile Engineering) (The Second International Conference on Electronics and Software Science ICESS2016)
Service
Source: Self-asserted source
Masashi Sugimoto

Funding (8)

Blockchainと分散学習による群ロボットの高信頼型協調動作に関する研究

2021-04 to 2024-03 | Grant
日本学術振興会 (東京都千代田区, JP)
GRANT_NUMBER:

21K03979
Source: Self-asserted source
Masashi Sugimoto

一線式によるデータと電力同時伝送システムとSmart EMCへの適用研究

2021-04 to 2024-03 | Grant
日本学術振興会 (東京都千代田区, JP)
Part of GRANT_NUMBER:

21K04043
Source: Self-asserted source
Masashi Sugimoto

LPWAと深層学習を用いた 舶用自動衝突予防支援装置の実証実験

2021-04 to 2022-03 | Contract
I-O DATA Foundation (Kanazawa City, Ishikawa Pref., JP)
Source: Self-asserted source
Masashi Sugimoto

AIを搭載した自律型水田除草ロボットの開発

2020-05 to 2023-03 | Grant
Japan Society for the Promotion of Science (Tokyo, JP)
Part of GRANT_NUMBER:

20K06331
Source: Self-asserted source
Masashi Sugimoto

Demonstration Experiment of an Autonomous Robot in Paddy Field

2018-09 to 2019-08 | Grant
Japan Science and Technology Agency (Kawaguchi C., Saitama Pref., JP)
Source: Self-asserted source
Masashi Sugimoto

ICT技術を活用した除草ロボット用プラットフォームの開発

2017-08 to 2018-03 | Grant
国立高等専門学校機構 第4ブロック研究推進ボード (Ube City, Yamaguchi Pref., Japan, JP)
Source: Self-asserted source
Masashi Sugimoto

豊橋技術科学大学平成29年度高専連携教育プロジェクト 研究推進プロジェクト(ステージ1)

2017 to present | Grant
Toyohashi University of Technology (Toyohashi city, Aichi Pref., JP)
Source: Self-asserted source
Masashi Sugimoto

豊橋技術科学大学 平成29年度高専連携教育プロジェクト 企業連携研究推進プロジェクト(ステージ2)

2017 to 2018 | Grant
Toyohashi University of Technology (Toyohashi city, Aichi pref., JP)
Source: Self-asserted source
Masashi Sugimoto

Works (42)

A Study on Enhancing Dueling DQN Performance in Incomplete Observable Environments: An Approach using Kalman Filter

JOURNAL OF THE INSTITUTE OF INDUSTRIAL APPLICATIONS ENGINEERS
2024-10 | Journal article | Writing - original draft
Contributors: Masashi Sugimoto
Source: Self-asserted source
Masashi Sugimoto

マルチエージェント分散型Dueling DQNとブロックチェーンを用いた分散型学習における迷路環境での性能評価

産業応用工学会論文誌
2024-09 | Journal article | Writing - original draft
DOI: 10.12792/jjiiae.12.2.154
Contributors: Masashi Sugimoto
Source: Self-asserted source
Masashi Sugimoto

A Study for Comparative Analysis of Dueling DQN and Centralized Critic Approaches in Multi-Agent Reinforcement Learning

Journal of Robotics and Mechatronics
2024-06-20 | Journal article
DOI: 10.20965/jrm.2024.p0589
Contributors: Masashi Sugimoto
Source: Self-asserted source
Masashi Sugimoto
grade
Preferred source (of 2)‎

深層強化学習を用いた屋内移動ロボットの 経路探索アルゴリズムの評価

産業応用工学会論文誌
2021-09 | Journal article
Contributors: Masashi Sugimoto
Source: Self-asserted source
Masashi Sugimoto

農作業用ロボットにおけるLiDARを用いた自己位置推定手法

産業応用工学会論文誌
2021-05 | Journal article
Source: Self-asserted source
Masashi Sugimoto

An Experimental Study for Tracking Ability of Deep Q-Network

International Journal of New Computer Architectures and their Applications (IJNCAA)
2021-01-20 | Journal article
Source: Self-asserted source
Masashi Sugimoto

A Study for Development of Route Prediction Method for Vessel using SVR

International Journal of New Computer Architectures and their Applications (IJNCAA)
2020-05-23 | Journal article
Source: Self-asserted source
Masashi Sugimoto

A Study on Model-Based Development of Embedded System using Open Source Computational Environment

International Journal of New Computer Architectures and their Applications (IJNCAA)
2020-04-03 | Journal article
Source: Self-asserted source
Masashi Sugimoto

A Study for Development of Home Appliances Identification Method using Load Current

International Journal of Digital Information and Wireless Communications (IJDIWC)
2020-03 | Journal article
Source: Self-asserted source
Masashi Sugimoto

小型船舶航行支援システム用データベースサーバの要求定義に関する考察

日本航海学会講演予稿集
2020-03 | Journal article
Source: Self-asserted source
Masashi Sugimoto

A Study for Development of Route Prediction Method for Vessel using Machine Learning

International Journal of Digital Information and Wireless Communications (IJDIWC)
2020-03-25 | Journal article
Source: Self-asserted source
Masashi Sugimoto

A Study for Improvement for Reinforcement Learning based on Knowledge Sharing Method

International Journal of New Computer Architectures and their Applications (IJNCAA)
2020-01-29 | Journal article
Source: Self-asserted source
Masashi Sugimoto

An Experimental Study for Exploration-oriented Behavior in Maze-solving using Reinforcement Learning based on Communication Protocol

International Journal of New Computer Architectures and their Applications (IJNCAA)
2019-11-18 | Journal article
Source: Self-asserted source
Masashi Sugimoto

A Cloud Simulator of Fire Spreading to Support Residents’ Disaster Management Plannings

The Fifth International Conference on Electronics and Software Science ICESS2019
2019-08-02 | Conference paper
Source: Self-asserted source
Masashi Sugimoto

An Experimental Study for Exploration-oriented Behavior in Maze-solving using Reinforcement Learning

The Fifth International Conference on Electronics and Software Science ICESS2019
2019-08-02 | Conference paper
Source: Self-asserted source
Masashi Sugimoto

A Study for Development of Autonomous Paddy-weeding Robot System –An experimentation for autonomously straight-running based on compass-compensation–

International Journal of New Computer Architectures and their Applications
2019-02-21 | Journal article
Source: Self-asserted source
Masashi Sugimoto

A Study on Model-Based Development of Embedded System using Scilab/Scicos with TOPPERS/JSP

The 22nd Asia Pacific Symposium on Intelligent and Evolutionary Systems
2018-12-20 | Conference paper
Source: Self-asserted source
Masashi Sugimoto

A Study for Development of Autonomous Paddy-weeding Robot System

The Fourth International Conference on Electronics and Software Science (ICESS2018)
2018-11-05 | Conference paper
Part of ISBN: 978-1-941968-52-9
Source: Self-asserted source
Masashi Sugimoto

A Study for Dynamically Adjustmentation for Exploitation Rate using Evaluation of Task Achievement

International Journal of New Computer Architectures and their Applications (IJNCAA)
2018-06-01 | Journal article
DOI: 10.17781/P002402
Source: Self-asserted source
Masashi Sugimoto

A Study for Construction of Autonomous Behavior Strategy in Control of Agricultural Machinery

In Proc. of JSPE 2018 Spring Meeting
2018-03 | Conference paper
Source: Self-asserted source
Masashi Sugimoto

Dimensionality Reduction for State-action Pair Prediction based on Disturbance Tendency

1st ICDP
2018-03-07 | Conference paper
Source: Self-asserted source
Masashi Sugimoto

Rough Control of Underactuated Serial-type Double Inverted Pendulum Using State-action Pair Prediction

IEEJ Transactions on Electronics, Information and Systems
2017-12 | Journal article
DOI: 10.1541/ieejeiss.137.1617
Source: Self-asserted source
Masashi Sugimoto
grade
Preferred source (of 2)‎

A study of dynamically adjustment for exploitation action using evaluation of achievement

MHS2017
2017-12-05 | Conference paper
DOI: 10.1109/MHS.2017.8305282
Source: Self-asserted source
Masashi Sugimoto
grade
Preferred source (of 2)‎

Dimensionality Reduction and for State-action and Pair Prediction and based on Tendency and of State and Action

International Journal of New Computer Architectures and their Applications (IJNCAA)
2017-11-11 | Journal article
DOI: 10.17781/P002307
Source: Self-asserted source
Masashi Sugimoto

A Study for effectiveness of Dimensionality Reduction for State-action Pair Prediction –Training set reduction using Tendency–

ICESS2017
2017-07-31 | Conference paper
Source: Self-asserted source
Masashi Sugimoto

A Study of Predicting Ability in State-Action Pair Prediction

International Journal of Artificial Life Research (IJALR)
2017-05-30 | Journal issue or edition
DOI: 10.4018/IJALR.2017010104
Source: Self-asserted source
Masashi Sugimoto

A study on the deciding an action based on the future probabilisti distribution

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2016 | Book
DOI: 10.1007/978-3-319-43518-3_37
EID:

2-s2.0-84981217085

Part of ISBN:

16113349 03029743
Contributors: Sugimoto, M.; Kurashige, K.
Source: Self-asserted source
Masashi Sugimoto via Scopus - Elsevier

Adaptability to Periodic Variable Disturbance using Probabilistic State-Action Pair Prediction

Masashi Sugimoto, Naoya Iwamoto, Robert W. Johnston, Keizo Kanazawa, Yukinori Misaki, Kentarou Kurashige
2016-12-14 | Journal article
Source: Self-asserted source
Masashi Sugimoto

A Study of Effectiveness of Dynamically Varying Sampling Rate for State-action Pair Prediction

ICESS2016
2016-11-14 | Conference paper
Source: Self-asserted source
Masashi Sugimoto

Respiration and Heartbeat Signal Measurement with A Highly Sensitive PVDF Piezoelectric Film Sensor

ICESS2016
2016-11-14 | Conference paper
Source: Self-asserted source
Masashi Sugimoto

Spectrum Analysis of Respiration and Heartbeat Signals Measured by A Non-Contact PVDF Piezoelectric Film Based Sensor

ICESS2016
2016-11-14 | Conference paper
Source: Self-asserted source
Masashi Sugimoto

A Study on the Deciding an Action based on the Future Probabilistic Distribution

Intelligent Robotics and Applications, Lecture Notes in Artificial Intelligence 9835
2016-08-30 | Magazine article
Part of DOI: 10.1007/978-3-319-43518-3_37
Source: Self-asserted source
Masashi Sugimoto

A study of effective prediction methods of the state-action pair for robot control using online SVR

Journal of Robotics and Mechatronics
2015 | Journal article
EID:

2-s2.0-84945190452

Part of ISBN:

18838049 09153942
Contributors: Sugimoto, M.; Kurashige, K.
Source: Self-asserted source
Masashi Sugimoto via Scopus - Elsevier

The proposal for real-time sequential-decision for optimal action using flexible-weight coefficient based on the state-action pair

2015 IEEE Congress on Evolutionary Computation, CEC 2015 - Proceedings
2015 | Conference paper
DOI: 10.1109/CEC.2015.7256937
EID:

2-s2.0-84963491201
Contributors: Sugimoto, M.; Kurashige, K.
Source: Self-asserted source
Masashi Sugimoto via Scopus - Elsevier

A Study of Effective Prediction Methods of the State-Action Pair for Robot Control Using Online SVR

Journal of Robotics and Mechatronics (JRM)
2015-10-19 | Journal article
DOI: 10.20965/jrm.2015.p0469
Part of ISSN: 1883-8049
Source: Self-asserted source
Masashi Sugimoto

Future Motion Decisions using State-action Pair Predictions

International Journal of New Computer Architectures and Their Applications (IJNCAA)
2015-10-03 | Journal article
DOI: 10.17781/P001896
Part of ISSN: 2220-9085
Source: Self-asserted source
Masashi Sugimoto

The Proposal for Real-time Sequential-decision for Optimal Action using Flexible-weight Coefficient based on the State-Action Pair

IEEE CEC 2015
2015-05-25 | Conference paper
Source: Self-asserted source
Masashi Sugimoto

Real-time sequentially decision for optimal action using prediction of the state-action pair

2014 International Symposium on Micro-NanoMechatronics and Human Science, MHS 2014
2014 | Conference paper
DOI: 10.1109/MHS.2014.7006135
EID:

2-s2.0-84922127189
Contributors: Sugimoto, M.; Kurashige, K.
Source: Self-asserted source
Masashi Sugimoto via Scopus - Elsevier

The proposal for prediction of internal robot state based on internal state and action

IWACIII 2013 - 3rd International Workshop on Advanced Computational Intelligence and Intelligent Informatics
2014 | Conference paper
EID:

2-s2.0-84917691057
Contributors: Sugimoto, M.; Kurashige, K.
Source: Self-asserted source
Masashi Sugimoto via Scopus - Elsevier

The proposal for deciding effective action using prediction of internal robot state based on internal state and action

2013 International Symposium on Micro-NanoMechatronics and Human Science, MHS 2013
2013 | Conference paper
DOI: 10.1109/MHS.2013.6710431
EID:

2-s2.0-84893798259
Contributors: Sugimoto, M.; Kurashige, K.
Source: Self-asserted source
Masashi Sugimoto via Scopus - Elsevier

The Proposal for Deciding Effective Action using Prediction of Internal Robot State Based on Internal State and Action

Proc. of 2013 International Symposium on Micro-NanoMechatronics and Human Science
2013-11-13 | Conference paper
Source: Self-asserted source
Masashi Sugimoto

The Proposal for Prediction of Internal Robot State Based on Internal State and Action

Proc. of IWACIII2013
2013-10-18 | Conference paper
Source: Self-asserted source
Masashi Sugimoto
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