2024/10/08 更新

お知らせ

 

写真a

マツモト コウヘイ
松本 耕平
MATSUMOTO KOHEI
所属
システム情報科学研究院 情報知能工学部門 助教
職名
助教
外部リンク

論文

  • Development of a Tour Guide and Co-experience Robot System using the Quasi-Zenith Satellite System and the 5th-Generation Mobile Communication System at a Theme Park

    Kohei Matsumoto, Hiroyuki Yamada, Masato Imai, Akihiro Kawamura, Yasuhiro Kawauchi, Tamaki Nakamura, Ryo Kurazume

    2021年2月

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    担当区分:筆頭著者  

  • Spatial change detection using normal distributions transform

    Ukyo Katsura, Kohei Matsumoto, Akihiro Kawamura, Tomohide Ishigami, Tsukasa Okada, Ryo Kurazume

    ROBOMECH Journal   2019年12月

  • Development of mobile sensor terminals "Portable Go" for navigation in informationally structured and unstructured

    Yuuta Watanabe, Akio Shigekane, Kohei Matsumoto, Akihiro Kawamura, Ryo Kurazume

    ROBOMECH Journal   2019年6月

  • Development of ROS-TMS 5.0 for informationally structured environment

    Junya Sakamoto, Kouhei Kiyoyama, Kohei Matsumoto, Yoonseok Pyo, Akihiro Kawamura, Ryo Kurazume

    ROBOMECH Journal.   2018年9月

講演・口頭発表等

  • Mobile Robot Navigation Using Learning-Based Method Based on Predictive State Representation in a Dynamic Environment 国際会議

    Matsumoto, K; Kawamura, A; An, Q; Kurazume, R

    2022 IEEE/SICE INTERNATIONAL SYMPOSIUM ON SYSTEM INTEGRATION (SII 2022)  2022年  2022 IEEE/SICE International Symposium on System Integration, SII 2022

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    開催年月日: 2022年

    記述言語:英語   会議種別:口頭発表(一般)  

    Mobile robot navigation in a dynamic environment with pedestrians is essential for service robots operating in a living environment. Accordingly, the robot needs to understand and predict the behavior of pedestrians. However, predicting pedestrian behavior in advance is difficult because human behavior may be affected by factors that cannot be directly observed or modeled in advance, such as intentions and environmental influences. In addition, pedestrian behavior may be affected by the behavior of the robot.In this study, we apply a deep reinforcement learning method based on a novel predictive state representation (PSR) model to mobile robot navigation for realizing a navigation method considering the changes in pedestrian behavior caused by robot actions and other pedestrians. In addition, we propose two methods for integrating the states of the PSRs corresponding to each pedestrian and evaluate these methods in situations where the number of pedestrians differs between learning and testing.

    DOI: 10.1109/SII52469.2022.9708775

    Web of Science

    Scopus

  • 高精度GNSSを用いた自律移動草刈りロボットの開発

    松本 耕平, 大城 孝弘, 渡邉 崇, 下窪 竜, 小玉 尚人, 倉爪 亮

    ロボティクス・メカトロニクス講演会講演概要集  2023年  一般社団法人 日本機械学会

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    記述言語:日本語  

    DOI: 10.1299/jsmermd.2023.2p1-b03

    CiNii Research

  • 群ロボットを用いた竣工前建築物の照度測定システムの開発

    西浦 悠生, 酒見 和幸, 古野 純二, 福田 貴子, 池田 義明, 松本 耕平, 倉爪 亮

    ロボティクス・メカトロニクス講演会講演概要集  2023年  一般社団法人 日本機械学会

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    記述言語:日本語  

    DOI: 10.1299/jsmermd.2023.1a1-b03

    CiNii Research

  • 公衆5G網を用いた屋外監視移動ロボットシステムの開発

    段上 将門, 松本 耕平, 倉爪 亮

    ロボティクス・メカトロニクス講演会講演概要集  2023年  一般社団法人 日本機械学会

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    記述言語:日本語  

    DOI: 10.1299/jsmermd.2023.1a1-i02

    CiNii Research

  • フローベース生成モデルを利用したオフライン強化学習による動的環境下での移動ロボットナビゲーション

    松本 耕平, 倉爪 亮

    ロボティクス・メカトロニクス講演会講演概要集  2023年  一般社団法人 日本機械学会

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    記述言語:日本語  

    DOI: 10.1299/jsmermd.2023.2a2-g01

    CiNii Research

  • Evaluation of ground stiffness using multiple accelerometers on the ground during compaction by vibratory rollers 国際会議

    Tamaishi Y., Fukuda K., Nakashima K., Maeda R., Matsumoto K., Kurazume R.

    Proceedings of the International Symposium on Automation and Robotics in Construction  2023年  Proceedings of the International Symposium on Automation and Robotics in Construction

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    記述言語:英語   会議種別:口頭発表(一般)  

    Soil compaction is one of the most important basic elements in construction work because it directly affects the quality of structures. Compaction work using vibratory rollers is generally applied to strengthen ground stiffness, and the method that focuses on the number of compaction cycles is widely used to manage the ground stiffness by vibratory rollers. In contrast to this method, the continuous compaction control (CCC) using accelerometers installed on the vibratory rollers has been proposed as a quantitative evaluation method more suited to actual ground conditions. This method quantifies the distortion rate of the acceleration waveform of the vibratory roller. However, this method based on acceleration response has problems in measurement discrimination accuracy and sensor durability because the accelerometer is installed on the vibration roller, which is the source of vibration. In this paper, we propose a new ground stiffness evaluation method using multiple accelerometers installed on the ground surface. The proposed method measures the acceleration response during compaction work by vibratory rollers using multiple accelerometers on the ground surface. Experiments show the proposed method has a higher discrimination than the conventional methods.

    DOI: 10.22260/ISARC2023/0037

    Scopus

  • Development of a Retrofit Backhoe Teleoperation System Using Cat Command 国際会議

    Shibata K., Nishiura Y., Tamaishi Y., Matsumoto K., Nakashima K., Kurazume R.

    2024 IEEE/SICE International Symposium on System Integration, SII 2024  2024年  2024 IEEE/SICE International Symposium on System Integration, SII 2024

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    記述言語:英語   会議種別:口頭発表(一般)  

    Most existing retrofit remote-control systems for backhoes are large, hard-to-install, and expensive. Therefore, we propose an easy-to-install and inexpensive teleoperation system. The proposed system comprised remote-control and sensing systems. The remote-control system retrofits robot arm-based devices to 'Cat Command', a compact embedded teleoperation system with a limited communication range, and controls these devices via a 5G commercial network to realize control from a remote office. Because this system does not require any additional modifications to the embedded control unit in the cockpit, the operator can continue working in the cockpit even if the backhoe is remotely controlled. The system enables the remote control of various devices from an extremely long distance by changing the joint parts between the robot arm and the embedded remote-control device. The sensing system estimates the posture and position of the backhoe by attaching original sensing devices to the backhoe. In addition, a 360 camera was installed in the cockpit to transmit work images from the construction site to a remote office in real time. The sensing device was smaller and lighter than conventional devices. We confirmed that the proposed system can be used to operate a construction site backhoe from a remote office, and that the system can be used to excavate soil using an actual backhoe.

    DOI: 10.1109/SII58957.2024.10417625

    Scopus

  • ROS2-TMS for Construction: CPS platform for earthwork sites 国際会議

    Ryuichi Maeda, Kohei Matsumoto, Tomoya Kouno, Tomoya Itsuka, Kazuto Nakashima, Yusuke Tamaishi, Ryo Kurazume

    International Symposium on Artificial Life and Robotics (AROB)  2024年1月 

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    会議種別:口頭発表(一般)  

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