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Yoshie Lab
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A lab that gathers the information flowing through work sites and delivers it to the people who need it.
AboutAbout the lab
Building information technology that helps manufacturing.
The Yoshie Lab researches the development and use of information technology that supports manufacturing, a field in which Japan excels.
Using networks such as the Internet, it collects the various kinds of information needed for production and organizes it into forms that people can use easily.
To this end, it designs intelligent software that uses artificial intelligence, and methods that let people and software interact naturally.
The lab pursues both practicality, so that its work can actually be used on production floors, and novelty, so that it changes production methods and ways of doing business.
Key terms
- Community Computing
- Technology for analyzing the information that flows through places where people gather and act, and delivering it to those who need it
- AR (augmented reality)
- Technology that overlays computer-generated information on a real-world view seen through a camera
- Machine Learning
- A mechanism by which computers find rules on their own from many examples
ResearchResearch themes
The Yoshie Lab works on community computing: analyzing the information that flows through places where people gather and act, and delivering it clearly to those who need it. Using machine learning, speech and image processing, and AR technology, the lab explores new forms of technology while keeping in mind the connection between physical and digital space.
*Illustrative imageUnderstanding Spending While Walking Around Town
It is hard to see where and on what tourists spend money as they walk around a town. The lab proposes a system that combines multiple types of data, such as location records and video, for analysis, and seeks to understand spending behavior in walking tours of towns.
*Illustrative imageMeasuring the Value of DX
How much value do DX (digital transformation) solutions provided by IT companies bring to the companies that adopt them? The lab builds a method for evaluating that value and tests it on real cases.
*Illustrative imageApplying Search-Based AI to Code Generation
This research applies retrieval-augmented generation (RAG), an AI approach that searches documents before producing an answer, to the task of automatically writing program code. The lab tests whether the method of generating a hypothetical answer document and using it for retrieval is useful in code generation.
MembersFaculty
- ProfessorOsamu Yoshie
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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: “Crane at construction site - geograph.org.uk - 7593527” Kevin Waterhouse / CC BY-SA 2.0 (cropped)
- Understanding Spending While Walking Around Town: “JP Japan Kyoto Higashiyama-ku tourist shop morning 0915pm June 2026 N13P 02” HAGAT hOMSZE / CC0 (cropped)
- Measuring the Value of DX: “Marketing dashboard” HelicalInsight OpenSourceBI / CC BY-SA 4.0 (cropped)
- Applying Search-Based AI to Code Generation: “Python code example” Zhanjack822 / CC0 (cropped)
- Related lab (家入研究室): “Design Thinking Workshop WMDE 2” Corinna Schuster (WMDE) / CC BY-SA 4.0 (cropped)
- Related lab (松丸研究室): “Robonaut 2 on Centaur 2” NASA / Public domain (cropped)
- Related lab (藤村研究室): “001 Car factory assembly line - Opel factory in Gliwice, Poland” Marek Ślusarczyk (Tupungato) Photo portfolio / CC BY 3.0 (cropped)
- Related lab (岩井原研究室): “NOIRLab HQ Server Racks (6V6A0395-CC)” NOIRLab/NSF/AURA/T. Slovinský / CC BY 4.0 (cropped)
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