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Nakamura Lab
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The lab works toward robots that learn the way humans do.
AboutAbout the lab
Aiming for robots that learn like humans.
The Nakamura Lab aims to realize robots that autonomously acquire a wide range of abilities as humans do, and studies mathematical models of that learning.
Humans are born immature, learn concepts and behaviors while adapting to their environment, and eventually become able to communicate with others through language.
The elemental technologies obtained from this research are also applied to research on intelligent systems, such as analyzing children's behavior in nursery schools.
On the lab's website, the lab is introduced under the name "Nakamura-Jiang Lab."
Key terms
- Mathematical model
- A representation of a mechanism such as learning in mathematical equations. In this lab, the mechanism of human learning is expressed in this form
- Concept
- A robot's own way of understanding an object, formed by categorizing information about objects
- Emergence
- The natural, bottom-up formation of something through interaction with the environment, rather than from a predetermined design
NewsLab news
A master's student received the IEEE Computer Society Japan Chapter SMASH Young Researcher Award
A master's student received the Excellent Poster Award at the Intelligent Home Robotics workshop
The page on undergraduate thesis lab assignment for fiscal year 2025 has been published
A master's student and faculty members received the Excellence Award at the 31st Annual Meeting of the Association for Natural Language Processing
Doctoral and master's students and faculty members received the Excellent Presentation Award at the System Integration Division Annual Conference of the Society of Instrument and Control Engineers
ResearchResearch themes
The lab aims to realize robots that learn concepts and language as humans do and autonomously acquire a wide range of abilities. To this end, the lab builds mathematical models of learning and also studies intelligent systems that apply the resulting elemental technologies.
*Illustrative imageConcept and Language Acquisition by Robots
Robots form concepts by categorizing information obtained from objects, and acquire the meanings of words by linking those concepts to words in sentences taught by people. They also learn the word order of the taught sentences, achieving the acquisition of grammar.
*Illustrative imageLanguage Emergence in Robots
Language emerges bottom-up through interaction with the environment, and once its meanings are shared with others, it can be used to convey intentions. The lab aims to build mathematical models that enable robots to develop language through communication.
*Illustrative imageHousehold Tasks by Multiple Robots
This research is part of the Cabinet Office's Moonshot project, which aims to have multiple robots with different bodies cooperate to perform household tasks. In unfamiliar situations, the robots ask people to operate them remotely over the internet, and acquire new knowledge from the logs of those operations.
*Illustrative imageNatural Language Understanding by Robots
For robots to work in the home, they need to understand instructions from people accurately. By using information about the surrounding environment, the lab has achieved understanding of ambiguous instructions from people.
MembersFaculty
The members of the Nakamura Lab consist of faculty, part-time researchers, research support staff, doctoral, master's, and undergraduate students, and collaborators.As of 2026
- Associate ProfessorTomoaki Nakamura
- Assistant ProfessorJiang Hai
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: “Robot based on AI on the move in the conference hall” Shani Evenstein / CC BY-SA 4.0 (cropped)
- Concept and Language Acquisition by Robots: “Ghost Robotics - Civitas Group Vision 60 robot dog at BSDA 2024” Pfc. Alexcia Rupert / Public domain (cropped)
- Language Emergence in Robots: “Telenoid™ R4 (tele-presence robot for communication) by ATR Hiroshi Ishiguro Laboratory, exhibited at Miraikan ( by Franklin Heijnen)” Franklin Heijnen / CC BY-SA 2.0 (cropped)
- Household Tasks by Multiple Robots: “Cognitive Service Robot Cosero” Sven Behnke / CC BY-SA 4.0 (cropped)
- Natural Language Understanding by Robots: “Humanoid Robot” Wikideas1 / CC0 (cropped)
- Related lab (杉 正夫 研究室): “Pengeluaran produksi Rubik Kiub” Encik Tekateki / CC BY-SA 4.0 (cropped)
- Related lab (仲田 佳弘 研究室): “Gate Valve with Handwheel (L) and with Linear Pneumatic Actuator (R)” Galison / CC BY-SA 3.0 (cropped)
- Related lab (松本 光春 研究室): “2008 Robot Taiwan CSIST Intelligent Hazard Removing Robot” Rico Shen / CC BY-SA 3.0 (cropped)
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