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Autonomous Control Systems Lab
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The lab works to bring drones closer to robots that think and act on their own.
AboutAbout the lab
Thinking and moving on their own, like living things
The Autonomous Control Systems Lab has as its major goal "the creation of autonomous systems using robots."
An autonomous system is one that can think about and decide its own actions, and living organisms are the typical example.
The lab centers on research on aerial robots, represented by drones, from the perspectives of control engineering and robotics.
It aims to realize robots with the ultimate autonomous capability found in living organisms.
Key terms
- Visual-SLAM
- A technology that simultaneously builds a map of the surroundings and estimates its own position from camera images
- Multirotor
- A typical type of drone that flies by varying the rotation of multiple propellers
- Robustness
- The property of not losing performance easily even when there are disturbances such as wind, or deviations from what was expected
ResearchResearch themes
With "the creation of autonomous systems using robots" as its major goal, the lab carries out a variety of research from the perspectives of control engineering and robotics. Centering on aerial robots, represented by drones, it aims to realize robots with the ultimate autonomous capability found in living organisms.
*Illustrative imageFully Actuated Multirotor Helicopters
In an ordinary multirotor, the propellers lie in the same plane, so the airframe must tilt in order to move horizontally. This problem can be solved by arranging the propellers non-planarly, so the lab designs optimal airframes of this kind by combining dynamics simulation with numerical optimization, and also builds control systems that command translation and rotation independently.
*Illustrative imagePerformance Evaluation of Visual-SLAM in the Dark
The performance of Visual-SLAM drops greatly in dark places, but the lab considered that using an external light source might allow it to operate stably even in the dark. In a dark space equipped with motion capture, the lab moves the system while a point light source is on and verifies the accuracy of position estimation. It has also conducted experiments in which the wavelength of the light source was varied.
*Illustrative imageAutonomous Control of UAVs Using the Super-Twisting Algorithm
The lab aims at attitude control of multirotor UAVs that is highly robust against outdoor disturbances and modeling errors. Sliding mode control has a weakness: an oscillation called chattering. The lab therefore applies super-twisting sliding mode control, which compensates for this weakness, and verifies flight performance.
*Illustrative imageNavigation of Small Unmanned Aerial Vehicles Using Visual-SLAM
The lab is developing a drone navigation system that can be used indoors, such as in warehouses, where GNSS cannot measure the drone's own position. It integrates self-position information obtained by Visual-SLAM with acceleration information obtained by an IMU using an extended Kalman filter to estimate the position and velocity of the airframe.
MembersFaculty
The members of the Autonomous Control Systems Lab are faculty members, staff, and doctoral, master's, and undergraduate students.As of 2025
- Associate ProfessorSatoshi Suzuki
- Project Assistant ProfessorAbner Asignacion Jr
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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: “DJI Mavic 4 Pro Drone in Flight Napeague New York” Hayden Soloviev / CC BY 4.0 (cropped)
- Fully Actuated Multirotor Helicopters: “LANDRS Science Drone Hex1 Frame Render” MBorrageiro / CC BY-SA 4.0 (cropped)
- Performance Evaluation of Visual-SLAM in the Dark: “University of Portsmouth CCIXR 2 Motion Capture (Mo-Cap) Studio” Tim Sheerman-Chase / CC BY 2.0 (cropped)
- Autonomous Control of UAVs Using the Super-Twisting Algorithm: “Unmanned aerial vehicle aerial photography 30” Zarate123 / CC BY-SA 4.0 (cropped)
- Navigation of Small Unmanned Aerial Vehicles Using Visual-SLAM: “Autonomous Quadcopter Project 01” Mais Jamal, Youshaa Murhij, Zain Alabiden Ali / CC BY-SA 4.0 (cropped)
- Related lab (システム数理教育研究分野): “AMD3101E” Mister rf / CC BY-SA 4.0 (cropped)
- Related lab (生物機械工学研究室): “061 Wild Bumblebee in flight pollinating with Crocus Parc naturel régional Jura vaudois Photo by Giles Laurent” Giles Laurent / CC BY-SA 4.0 (cropped)
- Related lab (並木研究室
（Namiki Laboratory） ): “Robotic ROV Manipulator Arm 3” BPLINFO / CC BY-SA 4.0 (cropped) - Related lab (Flight Dynamics and Control Lab.（Fujiwara lab.）): “Unmanned Helicopter 2025 V-J Parade CNS” 中国新闻社 / CC BY 4.0 (cropped)
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