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.·Journal
01
No single agent sees enough. Observability is something a system arranges, not something a sensor has.
A robot team and the sensors around it can only reason about what they can collectively observe. This pillar treats coverage, occlusion, and sensor placement as decisions the system makes and revises at run time — deploying sensors, moving to see, and choosing what is worth measuring next.
Open questions
Where should a sensor be placed when the environment, not the map, decides what matters?
When is it cheaper for a robot to move than for the network to add a sensor?
How does a team know what it currently cannot see?
01/Methods and topics
02/Research funding
2025
Reasoning Over IoT and Robot Vision for Hazardous Scene Understanding
NVIDIA — Academic Grant Program (DGX Spark)·Principal Investigator
2023 — 2024
Knowledge-based Digital Twin Update using Multi-camera IoT with Federated Learning
Tough Cyber-Physical AI Research Center — Joint Research Project·Principal Investigator
03/Related projects
04/Representative publications
11
2026
Ranulfo Bezerra, Satoshi Tadokoro, Kazunori Ohno
IEEE Internet Things J.·Journal
2026
Takaaki Nara, Yoshito Okada, Shotaro Kojima, Yoshiki Yokota, Ranulfo Bezerra, Kazunori Ohno, Nobuyasu Shiga, Satoshi Yasuda, Kenichi Takizawa, Satoshi Tadokoro
ICARA 2026·Conference
2026
Yoshiki Yokota, Yoshito Okada, Ranulfo Bezerra, Kazunori Ohno, Kenjiro Tadakuma, Satoshi Tadokoro
IEEE Access·Journal
2025
Liviu-Mihai Stan, Ranulfo Bezerra, Shotaro Kojima, Tsige Tadesse Alemayoh, Satoshi Tadokoro, Masashi Konyo, Kazunori Ohno
ICAR 2025·Conference
2025
Iuri Barros, Yoshito Okada, Kenjiro Tadakuma, Masahiro Watanabe, Masashi Konyo, Kazunori Ohno, Yoshiki Yokota, Ranulfo Bezerra, Satoshi Tadokoro
IEEE RA-M·Journal
2025
Iuri Barros, Ranulfo Bezerra, Rawin Assabumrungrat, Shotaro Kojima, Yoshito Okada, Masashi Konyo, Kazunori Ohno, Satoshi Tadokoro
IEEE/SICE SII 2025·Conference
2025
Takaaki Nara, Yoshito Okada, Shotaro Kojima, Ranulfo Bezerra, Kazunori Ohno, Suguru Kameda, Nobuyasu Shiga, Satoshi Yasuda, Kenichi Takizawa, Satoshi Tadokoro
IEEE Access·Journal
2025
Masaki Yokota, Yoshito Okada, Ranulfo Bezerra, Kazunori Ohno, Kenjiro Tadakuma, Satoshi Tadokoro
Robotics Symposia 2025·Domestic conference
2023
Keiichiro Hattori, Ranulfo Bezerra, Shotaro Kojima, Yoshito Okada, Kazunori Ohno, Shintaro Ishihara, Kenji Sawada, Satoshi Tadokoro
ICAR 2023·Conference
2023
Rawin Assabumrungrat, Ranulfo Bezerra, Iuri Barros, Shotaro Kojima, Yoshito Okada, Masashi Konyo, Kazunori Ohno, Satoshi Tadokoro
IEEE SMC 2023·Conference
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·Conference
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.