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Systems Biomedical Engineering Lab
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The lab builds medical robots and human-machine systems using control and information technologies.
AboutAbout the lab
Systems biomedical engineering, which integrates biomedical engineering and information science
The Systems Biomedical Engineering Lab conducts research that integrates biomedical engineering and information science.
Building on control engineering, robotics, biological measurement, and fluid engineering, the lab comprehensively analyzes the sophisticated measurement and control mechanisms of living organisms.
Using these methods, the lab aims to create new medical systems and human-machine systems.
The lab works on motion assistance systems that use pneumatic rubber artificial muscles, and on the control of AI-based surgical assistance robots.
Key terms
- Pneumatic rubber artificial muscle
- A rubber component that inflates under air pressure and contracts like a muscle to produce force
- Bilateral control
- Control in which both position and force are exchanged between a hand-held operating device and a robot at a remote location
- Physical reservoir computing
- An approach that uses the complex response of a physical device itself as part of the computation, for tasks such as state estimation
NewsLab news
A doctoral student received the Best Presentation Award at the Spring Conference of the Japan Fluid Power System Society
Assistant Professor Mikawa received the Funai Research Encouragement Award from the Funai Foundation for Information Technology
A master's student received the Best Presentation Award at the Fluid Measurement and Control Symposium of the Society of Instrument and Control Engineers
Assistant Professor Mikawa received the Best Presentation Award at APMAR2025
A doctoral student received the Best Presentation Award at the Spring Conference of the Japan Fluid Power System Society
ResearchResearch themes
Building on control engineering, robotics, biological measurement, and fluid engineering, the lab analyzes the sophisticated measurement and control mechanisms of living organisms through an integrated approach. Using these measurement and control methods, it works to make medical robots and human-machine systems more capable and more intelligent.
*Illustrative imageState Estimation with Physical Reservoir Computing
For pneumatically driven medical systems and motion assistance systems, the lab studies computation that embeds nonlinear distributed-parameter models of the actuation system into neural networks. For walking assistance, the goal is to estimate the walking state and use it in feedback control.
*Illustrative imageRobot Teleoperation and Surgical Assistance
The lab works on several projects: encrypting bilateral control systems, which teleoperate a robot's position and force, to make them resistant to cyberattacks (joint research with a lab at the University of Electro-Communications); combining spatial video with force feedback from pneumatic rubber artificial muscles; and exploring cooperative and autonomous control of surgical assistance robots using endoscopic images and AI.
*Illustrative imageEstimating Condition and Pathology from Medical Images
The lab applies AI to medical images to estimate the state of robots and the pathology of organs. Examples include image reconstruction that exploits the sparsity of biological images, and reconstruction of detailed three-dimensional information from monocular endoscopic images.
*Illustrative imageSoft Actuators
The lab has proposed soft actuators that use gas-liquid phase change, and is prototyping medical devices based on them and investigating how to control them.
MembersFaculty
The members of the Systems Biomedical Engineering Lab consist of faculty, administrative assistants, collaborators, and doctoral, master's, and undergraduate students.As of 2026
- ProfessorKawashima KenjiPublications ↗
- LecturerTetsuro MiyazakiPublications ↗
- Assistant ProfessorYuri Mikawa
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Report an errorAbout the images
The top and research theme images are illustrative and were not taken at the lab. They are cropped from Wikimedia Commons images. Cropped CC BY-SA images are provided under the same CC BY-SA license as the original (version shown on each line).
- Top image: “Columbia Hernia Center” Surgeryizer / CC BY-SA 4.0 (cropped)
- State Estimation with Physical Reservoir Computing: “Artificial knee ( )” Magnus Hagdorn from UK / CC BY-SA 2.0 (cropped)
- Robot Teleoperation and Surgical Assistance: “HAPTION Virtuose 6D 35-45 Force-Feedback” HAPTION / CC BY-SA 3.0 (cropped)
- Estimating Condition and Pathology from Medical Images: “Colonoscopy splenic flexure” melvil / CC BY-SA 4.0 (cropped)
- Soft Actuators: “Soft under-actuated fish-like robot” Pablo Valdivia y Alvarado / CC0 (cropped)
- Related lab (Computing Systems Lab (Nakamura-Takase)): “Pleiades two row” NASA Ames Research Center / Public domain (cropped)
- Related lab (Systems and Control Lab): “Kilobot robot swarm” asuscreative / CC BY-SA 4.0 (cropped)
- Related lab (Brain Mathematics and Information Collaboration Lab): “Synapsin and CamK2 positive neurons” ManuelSchottdorf / CC BY-SA 4.0 (cropped)
- Related lab (Mathematical Bioinformatics Lab): “Mouse Embryo Cerebellum ( )” NIH Image Gallery from Bethesda, Maryland, USA / Public domain (cropped)
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