2026
AI-IoT-Robotics Integration: Survey of Frameworks, Emerging Trends, and the Path Toward Connected Robotics
Ranulfo Bezerra, Satoshi Tadokoro, Kazunori Ohno
IEEE Internet Things J.·論文誌
01
単一のエージェントに十分な視野はない。可観測性はセンサが持つものではなく、システムが構成するものである。
ロボットチームと周囲のセンサは、集合的に観測できる範囲でしか推論できない。この柱では、カバレッジ、遮蔽、センサ配置を、システムが実行時に決定し修正し続ける対象として扱う。センサを配置し、見るために移動し、次に何を測るべきかを選択する。
未解決の問い
地図ではなく環境が重要性を決めるとき、センサはどこに置くべきか。
ネットワークにセンサを追加するより、ロボットが移動する方が安価なのはいつか。
チームは、いま自分たちに何が見えていないかをどう知るのか。
01/手法とトピック
02/研究資金
2025
危険シーン理解のためのIoT・ロボット視覚に基づく推論
NVIDIA アカデミックグラントプログラム(DGX Spark)·研究代表者
2023 — 2024
連合学習を用いたマルチカメラIoTによる知識ベースのデジタルツイン更新
タフ・サイバーフィジカルAI研究センター 共同研究プロジェクト·研究代表者
03/関連プロジェクト
04/代表的な業績
11
2026
Ranulfo Bezerra, Satoshi Tadokoro, Kazunori Ohno
IEEE Internet Things J.·論文誌
2026
Takaaki Nara, Yoshito Okada, Shotaro Kojima, Yoshiki Yokota, Ranulfo Bezerra, Kazunori Ohno, Nobuyasu Shiga, Satoshi Yasuda, Kenichi Takizawa, Satoshi Tadokoro
ICARA 2026·国際会議
2026
Yoshiki Yokota, Yoshito Okada, Ranulfo Bezerra, Kazunori Ohno, Kenjiro Tadakuma, Satoshi Tadokoro
IEEE Access·論文誌
2025
Liviu-Mihai Stan, Ranulfo Bezerra, Shotaro Kojima, Tsige Tadesse Alemayoh, Satoshi Tadokoro, Masashi Konyo, Kazunori Ohno
ICAR 2025·国際会議
2025
Iuri Barros, Yoshito Okada, Kenjiro Tadakuma, Masahiro Watanabe, Masashi Konyo, Kazunori Ohno, Yoshiki Yokota, Ranulfo Bezerra, Satoshi Tadokoro
IEEE RA-M·論文誌
2025
Iuri Barros, Ranulfo Bezerra, Rawin Assabumrungrat, Shotaro Kojima, Yoshito Okada, Masashi Konyo, Kazunori Ohno, Satoshi Tadokoro
IEEE/SICE SII 2025·国際会議
2025
Takaaki Nara, Yoshito Okada, Shotaro Kojima, Ranulfo Bezerra, Kazunori Ohno, Suguru Kameda, Nobuyasu Shiga, Satoshi Yasuda, Kenichi Takizawa, Satoshi Tadokoro
IEEE Access·論文誌
2025
Masaki Yokota, Yoshito Okada, Ranulfo Bezerra, Kazunori Ohno, Kenjiro Tadakuma, Satoshi Tadokoro
Robotics Symposia 2025·国内会議
2023
Keiichiro Hattori, Ranulfo Bezerra, Shotaro Kojima, Yoshito Okada, Kazunori Ohno, Shintaro Ishihara, Kenji Sawada, Satoshi Tadokoro
ICAR 2023·国際会議
2023
Rawin Assabumrungrat, Ranulfo Bezerra, Iuri Barros, Shotaro Kojima, Yoshito Okada, Masashi Konyo, Kazunori Ohno, Satoshi Tadokoro
IEEE SMC 2023·国際会議
2020
Kento Yamada, Kazunori Ohno, Naoto Miyamoto, Taro Suzuki, Shotaro Kojima, Ranulfo Bezerra, Takahiro Suzuki, Keiji Nagatani, Yukinori Shibata, Kimitaka Asano, Tomohiro Komatsu, Satoshi Tadokoro
IEEE/SICE SII 2020·国際会議
Sensing position and orientation of construction vehicle is an important issue for automation of construction process. We aim to develop sensing and visualization technologies for construction vehicles. Our target construction vehicle is backhoes. Construction vehicles are usually rented in construction fields. However, construction vehicles that can be rented do not have the sensing function. It is too hard to obtain backhoe position and manipulator pose without sensing information. This paper proposes an attachable sensor box that can measure backhoe position and orientation and the manipulator pose. The sensor boxes can be attached on backhoe metal surface by magnetic force without any additional manufacturing on the construction vehicle surface. By using WiFi communication and mobile battery the sensor box can be easily attached on large-size backhoe without wiring. After the work is done, it is easily detached by changing magnetic force power. At loading and scooping motion, backhoe arm and boom have large force exceeding 16 G. To attach the sensor boxes to the arm and boom, we designed an additional magnetic frame that can generate force of 1960 N. The sensor boxes were firmly attached to each joint and prevented to drop by any force from backhoes movement. We also measured the behavior of the backhoe in loading works in hot conditions over 30 °C and visualized backhoe pose and tip manipulator position.