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Ogata Lab
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The lab combines robotics and deep learning to pursue new approaches to making things.

AboutAbout the lab
Making things with robotics and machine learning.
Ogata Lab studies new approaches to making things by combining robotics and machine learning.
The lab works on combining deep learning, an artificial neural network model, with robots that have many degrees of freedom.
Its topics include imitation learning, research linking actions and language, and mechanisms for humans and robots to collaborate.
Students join the lab seminar in their third year, and in the second semester they work in groups on development using the lab's robots.
Key terms
- Deep learning
- A technology that learns features from large amounts of data using computational structures modeled on the neural circuits of the brain.
- Imitation learning
- A learning method in which a robot acquires movements similar to those of a human by using human actions as examples.
- Robot with many degrees of freedom
- A robot with many joints in its arms that can perform complex movements close to those of humans.
ResearchResearch themes
Ogata Lab aims to create machine intelligence that can adapt to changing environments. By combining deep learning, an artificial neural network model, with robots that have many degrees of freedom, the lab studies imitation learning and human-robot collaboration.
*Illustrative imageControl that compensates for unknown motions
The lab studies methods that combine learning-based control with model-based control to compensate for motions that were not anticipated in advance.
*Illustrative imageNavigation for mobile robots
The lab develops navigation mechanisms that allow mobile robots to move autonomously.
*Illustrative imageLinking simulators and development platforms
The lab builds a mechanism that connects VREP, a dynamics simulator, with OpenRTM-aist, a robot development platform software.
*Illustrative imageTeaching materials for deep learning and robotics
Using OpenRTM-aist, the lab develops teaching materials that let students learn deep learning and robotics at the same time.
MembersFaculty
Ogata Lab's members consist of faculty, researchers, secretaries, research assistants, and doctoral, master's, and undergraduate students.As of 2026
- ProfessorTetsuya Ogata
- LecturerKen Funabashi
VoicesStudent voices
Compiled from answers by students who were in the lab. Ratings and reviews reflect individual students' experiences, not the lab's official views.
Students who take part in an interview may receive a thank-you gift worth ¥1,000, regardless of what they say.
On a 4-point scale, ● marks where students' answers fall
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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: “Robot arm handles an assay plate” National Institute of Allergy and Infectious Diseases / Public domain (cropped)
- Control that compensates for unknown motions: “Apple tree grafting 2” Karelj / Public domain (cropped)
- Navigation for mobile robots: “Desire path off Fairmead Road, High Beach, Essex, England 03” Acabashi / CC BY-SA 4.0 (cropped)
- Linking simulators and development platforms: “A T Antonsson-mangel 02” Calle Eklund / CC BY-SA 4.0 (cropped)
- Teaching materials for deep learning and robotics: “Tangram set 00” Nevit Dilmen / CC BY-SA 3.0 (cropped)
- Related lab (橋田研究室): “Swiss pine (Pinus cembra) 'Columnaris' cone close-up” ILoveAllTrees / CC BY-SA 4.0 (cropped)
- Related lab (福里研究室): “Hand-painted house 3D model stages” Drummyfish / CC0 (cropped)
- Related lab
(伴地研究室): “Wooden Mannequin” Petr Kratochvil / CC0 (cropped) - Related lab (及川研究室): “Spectrogram - Nine Inch Nails - My Violent Heart” Omegatron / CC BY-SA 3.0 (cropped)
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