We are dedicated to studying living
organisms' advanced measurement and control systems
through a comprehensive approach to developing innovative
medical robots and human-machine interfaces. Our research
focuses on leveraging the properties of soft,
compressible, fluid-driven systems, such as their
flexibility and nonlinear dynamics, to design intelligent
systems.
Our unique method is to use measurement and control
technology in system design based on the pneumatic servo
systems. In addition, by integrating biomedical
engineering and information science, we aim to develop
highly intelligent and functional systems.
For
Prospective Graduate Students
The Biomechanical System Lab admits graduate students from
the department of Information Physics and Computing,
School of Information Science and Technology. We welcome
students from all over the world. Please visit the
department webpage for information on applying to the
respective graduate programs:
Information Physics and Computing
Graduate Admissions
Research students are not recruited.
2025.4.26
Junyi Shen, Best student paper award finalist in 8th IEEE-RAS International Conference on Soft Robotics (RoboSoft 2025).
2025.3.21
Our study on AI-based bleeding point detection won the Best Paper Award at the International Forum on Medical Imaging in Asia.
2024.12.19
Research page has been updated.
2024.4.8
Members has been updated.
2023.11.4
Keynote speech at the workshop RoCAS2023.
2023.7.10
We organized a forum at IFAC 2023 entitled Artificial Intelligence in Biological and Medical Systems.
2023.4.7
Members has been updated.
2022.4.1
Dr. Maina Sogabe has been promoted to Assistant Professor.
2022.2.21
In AROB-ISBC-SWARM202, master course student Naoto Shono received Young Author Award．
2022.1.1
Dr. Tetsuro Miyazaki has been promoted to Lecturer.
2021.10.15
Awarded at the 11th JFPS International Symposium on Fluid Power, Best Paper Award
