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Intelligent Control Systems Lab
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A vision and control lab that moves robots using camera images.
AboutAbout the lab
Integrating vision, control, and measurement technologies that benefit society
The Intelligent Control Systems Lab studies the integration of vision, control, and measurement technologies, linking visual information processing with robot control.
The lab works on visual servoing, which treats visual information processing and robot motion as a single system, and on technology for processing data measured by 3D sensors in real time.
The lab is also applying its 3D data processing techniques to fields beyond robotics, such as crystal structures in materials science and shape generation in computational engineering.
The lab also uses high-speed vision and robotics to study the behavior of living organisms at the level of neural activity.
Key terms
- Visual servoing
- A theoretical framework that links visual information processing with robot motion and treats them as a single dynamic system
- 3D data processing
- Using computers to process data on three-dimensional shapes measured by 3D sensors
- High-speed vision
- Visual technology that captures and processes images at high speed
ResearchResearch themes
Under the banner of integrating vision, control, and measurement technologies, the lab studies vision and 3D data technologies used for robot control. Its main pillars are visual servoing, 3D data processing, and applications to systems behavioral biology.
*Illustrative imageVisual servoing
A framework that links visual information processing with robot motion and treats them as a single dynamic system. The lab develops fundamental techniques directly tied to practical applications, such as methods for extracting features suited to control and approaches that are robust to deformation, occlusion, and calibration errors.
*Illustrative image3D data processing and its applications
The lab develops vision systems that process data measured by 3D sensors in real time for use in robot control. Building on fundamental techniques that use deep learning and topology, it is advancing applications to crystal structures in materials science and shape generation in computational engineering.
*Illustrative imageApplications to systems behavioral biology
The aim is to observe and explain changes in the behavior of living organisms at the level of neural activity. By applying high-speed vision and robotics, the lab is clarifying biological behavior as a system.
MembersFaculty
- ProfessorKoichi Hashimoto
- Project Associate ProfessorNaoya Chiba
VoicesStudent voices
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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: “Stanford Cart and Hydraulic Arm ( )” Don DeBold from San Jose, CA, USA / CC BY 2.0 (cropped)
- Visual servoing: “Tour4 Spoetzl Brewery Shiner Texas 2024” Larry D. Moore / CC BY 4.0 (cropped)
- 3D data processing and its applications: “Ouster OS1-64 lidar point cloud of intersection of Folsom and Dore St, San Francisco” Daniel L. Lu / CC BY 4.0 (cropped)
- Applications to systems behavioral biology: “Ethology diversity” DrChrissy / CC BY-SA 3.0 (cropped)
- Related lab (Real-Time Computing Systems Lab): “OS Series high speed camera” Chrisjc77 / CC BY-SA 4.0 (cropped)
- Related lab (Intelligent Robotics and AI Lab): “US Navy 100531-N-7676W-075 Visitors interact with the , dexterous, social (MDS) robot Octavia at the Office of Naval Research (ONR) exhibit during Fleet Week New York 2010” U.S. Navy photo by John F. Williams / Public domain (cropped)
- Related lab (Higher-Order Visual Information Lab): “Optical Illusion” Ironnail / CC BY-SA 4.0 (cropped)
- Related lab (Integrated Fluid Informatics Lab): “Experiment to determine the trajectory of an outflowing jet” Hydromechanik / CC BY-SA 4.0 (cropped)
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