A page on LabLog, a review site (not the lab's official page)
Asako Kanezaki Lab
Machine-translated · View original
A lab for robots that recognize the real world and learn to act through machine learning.

AboutAbout the lab
Robots that recognize the real world and learn to act.
The Asako Kanezaki Lab is developing robot systems that recognize the real world and learn to act through machine learning.
Started in April 2020, the lab conducts research spanning computer vision and robotics.
It also focuses on research that reads what is present from three-dimensional data obtained with range sensors and similar devices.
Key terms
- Computer vision
- Technology that lets computers read what appears in images and video captured by cameras and other devices
- Robotics
- A field dealing with the technology for building robots and making them operate in the real world
- 3D data recognition
- Technology that reads what is present from data on three-dimensional shapes measured with range sensors and similar devices
NewsLab news
Paper accepted at the international conference CVPR 2026
Paper accepted at the international conference ICRA 2026
Paper accepted to IEEE RA-L
Paper accepted at the international conference ICCV 2025
Paper accepted at the international conference IROS 2025
ResearchResearch themes
The lab is developing robot systems that recognize the real world and learn to act through machine learning. Its main research topics are computer vision, robotics, machine learning, and 3D data recognition.
*Illustrative imageComputer vision
The lab studies how to make machines recognize what is present in the real world from images and video captured by cameras.
*Illustrative imageRobotics
The lab studies how to make robots learn how to act in the real world based on what they have recognized.
*Illustrative imageMachine learning
The lab also works on machine learning methods themselves, which underpin recognition of the real world and learning of actions.
*Illustrative image3D data recognition
The lab studies recognizing the type and orientation of objects from three-dimensional data obtained with range sensors and similar devices.
MembersFaculty
The Asako Kanezaki Lab consists of faculty members, visiting researchers, secretaries, and doctoral, master's, and undergraduate students.As of 2025
- Program-Specific ProfessorAsako Asako Kanezaki
VoicesStudent voices
Ratings and reviews reflect the experiences of individual current or former students, not the lab's official views. Whether a lab has reviews, or how many, says nothing about the lab itself.
Students who take part in an interview may receive a thank-you gift worth ¥1,000, regardless of what they say.
Student ratings (0 students)
--
--
--
--
--
--
Student voices answer questions like these
- What's great about this lab?
- What did you learn after joining?
- What's the vibe, and what is the professor like?
- Who is this lab for?
- Where do graduates go?
Your experience can help younger students choose their lab. Your name won't be shown.
Write a lab reviewAnonymous · Your draft is saved if you stopRelatedLabs similar to Asako Kanezaki Lab
Ikuro Sato LabSchool of Computing, Department of Computer ScienceComputer vision, applications to autonomous driving
Saito LabSchool of Computing, Department of Computer ScienceComputer graphics, image processing
Shogo Hamada LabSchool of Computing, Department of Computer ScienceMolecular robotics and DNA nanotechnology
Shimosaka LabSchool of Computing, Department of Computer ScienceUbiquitous computing and data analysisThe information on this page is compiled by the LabLog team from the lab's public information and interviews. For corrections or removal requests, please contact LabLog, not the lab.
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: “Atlas frontview 2013” DARPA / Public domain (cropped)
- Computer vision: “A close-up shot of the lens of an Integrated Fixed Tower (IFT) camera on Coronado Peak, Cochise County, AZ” EFF / CC BY 3.0 (cropped)
- Robotics: “Robotic Hand at Hannover Messe 2016” NearEMPTiness / CC BY-SA 4.0 (cropped)
- Machine learning: “MnistExamples” Josef Steppan / CC BY-SA 4.0 (cropped)
- 3D data recognition: “Ouster OS1-64 lidar point cloud of intersection of Folsom and Dore St, San Francisco” Daniel L. Lu / CC BY 4.0 (cropped)
- Related lab (佐藤研究室): “Ouster OS1-64 lidar point cloud of intersection of Folsom and Dore St, San Francisco” Daniel L. Lu / CC BY 4.0 (cropped)
- Related lab (齋藤研究室): “Utah teapot surreal” Dhatfield / CC BY-SA 3.0 (cropped)
- Related lab (浜田研究室): “20251019 Replica DNA double helix model Berlin 03” Flocci Nivis / CC BY 4.0 (cropped)
- Related lab (下坂研究室): “Warsaw city center in winter at night December 2023” Oleslawlama / CC BY-SA 4.0 (cropped)
About LabLog
LabLog is a lab review app for students only. Student members at each university interview students in labs and publish what they say. Student voices can only be read by students who sign up with a university email address. Operated by bestiee Inc.
Learn more about LabLog ↗Search engines and AI may reference the basic lab info and rating summaries on this page and the description of LabLog. Student voices are for student members only. Automated collection by programs (scraping, or input to or training of AI) is prohibited under Article 8 of the Terms of Service. If you need data for research or analysis, please contact us.