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Fujimoto Lab (System Control Lab)
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The lab studies the control and optimization of robots and electromechanical systems.
AboutAbout the lab
Aiming for a sustainable society through automation and optimization.
The Fujimoto Lab studies the control of robots and electromechanical systems, and the optimization of production systems and the like.
In connection with Japan's declining birthrate and aging population, the lab works on robots intended to support the independence of older adults and reduce the burden on medical and nursing-care workers.
In connection with the climate crisis, the lab studies energy saving in the drive units of electric vehicles and robots, as well as engineering methods for intervening in typhoons to reduce disaster damage, and typhoon power generation.
The lab is also active in putting its research results to practical use in society, and conducts joint research with many companies in Japan and abroad.
Key terms
- Data-driven control
- A method of tuning a control system using only a few sets of input-output experimental data, without having to build a mathematical model of the plant being controlled
- Backdrivability
- How easily a joint actuator moves in response to an external force. A property required of the arms of collaborative robots
- Assistive robot
- A robot that supports people. They come in various forms, such as cane-type, walker-type, exoskeleton-type, and seat-type
ResearchResearch themes
The Fujimoto Lab addresses challenges such as the declining birthrate and aging population and the climate crisis through applications of control to robots and electromechanical systems, and through the optimization of production systems and the like. Its research covers robots that support older adults and care workers, automatic tuning of control parameters, motion planning for unmanned construction machinery, and energy saving in the drive units of electric vehicles and robots.
*Illustrative imageData-Driven Simulation and Control
Data-driven control can tune a control system using only a few sets of input-output experimental data, without the need to derive a mathematical model of the plant being controlled. The lab proposes a new data-driven simulation and controller design method based on convolution.
*Illustrative imageJoint Gears for Robots That Physically Interact with People
The arms of collaborative robots that come into contact with people need joints that move easily in response to external forces (backdrivability). By optimizing the number of teeth and the profile shift coefficients of compound planetary gear reducers, the lab proposes and develops gears that can be backdriven with high efficiency even at high reduction ratios.
*Illustrative imageAutonomous Mobile Robots Driving in Unknown Environments
Current autonomous mobile robots require maps to be built in advance, and driving in unknown or dynamic environments remains a challenge. Building on LIDAR-based self-localization, mapping, and trajectory planning, the lab studies pedestrian detection and trajectory estimation, and driving plans that use only simple map information.
*Illustrative imageAssistive Robots That Support People
The lab studies assistive robots in various forms, including cane-type robots, walker-type robots, backpack-type torque generators, exoskeleton-type robots, and seat-type robots. Its work covers a wide range from mechanical design and fabrication to circuit boards, control algorithm development, and verification, and it also includes extracting the user's intent.
MembersFaculty
The lab's members consist of faculty, special research faculty, postdoctoral researchers, doctoral program students, master's program students, undergraduate students (fourth-year and third-year), research students, and administrative assistants.As of 2026
- ProfessorYasutaka Fujimoto
- Special Research FacultyKazuhito Yamagishi
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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: “Sunderland University Experimental Robot Arm” MichaelShort1975 / CC BY-SA 4.0 (cropped)
- Data-Driven Simulation and Control: “VEX Robotics Competition Robot and Controller” Noah Wulf / CC BY-SA 4.0 (cropped)
- Joint Gears for Robots That Physically Interact with People: “UR16e robot arm” Auledas / CC BY-SA 4.0 (cropped)
- Autonomous Mobile Robots Driving in Unknown Environments: “Vector3DHD autonomous robot and EnZone wireless charging” PattyK33 / CC BY-SA 4.0 (cropped)
- Assistive Robots That Support People: “Hybrid Assistive Limb, CYBERDYNE” Yuichiro C. Katsumoto from Shonan, Japan / CC BY 2.0 (cropped)
- Related lab (Shirakawa Lab): “UPS Power Management Module, racks with network cabling in NERSC data center” Derrick Coetzee from Berkeley, CA, USA / CC0 (cropped)
- Related lab (Shima Lab): “EMG - SIMI” D. Gordon E. Robertson / CC BY-SA 3.0 (cropped)
- Related lab (Tanabe Lab): “Murmuration ( agrégation) d'un groupe d'étourneaux sur la sebkha de Sijoumi 3” Skander zarrad / CC BY-SA 4.0 (cropped)
- Related lab (Hamagami Lab): “SMART 2017 Conference (6)” Elekes Andor / CC BY-SA 4.0 (cropped)
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