Organization
School of Engineering Professor
Title
Professor
External link
TANAKA MASAYUKI
News & Topics
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A skillful rescue robot with remote-control function
2016/12/26
Languages： English
A group of Japanese researchers developed a prototype construction robot for disaster relief situations. This prototype has drastically improved operability and mobility compared to conventional construction machines.
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遠隔操作性と繊細な作業性を備えた建設ロボットを開発―ImPACTタフ・ロボティクス・チャレンジによる新しい災害対応重作業ロボットの開発―
2016/11/16
Languages： Japanese
研究成果のポイント 自在な遠隔操作性と器用で繊細な作業性を備えた災害対応重作業ロボットを開発。遠隔でロボットを操縦するオペレータが、まるで対象物を触っているかのような反力と触覚を感じながら、精密で確実な作業ができる。ロボットの外にカメラを置かずとも、対象物や地形を、視点を変えながら、また、霧がかかっていても見ることができるため、精密な作業や複雑な地形での移動が容易になる。
Research Interests
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Image Processing
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Computational Photography
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画像処理
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Computational Photography
Research Areas
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Manufacturing Technology (Mechanical Engineering, Electrical and Electronic Engineering, Chemical Engineering) / Measurement engineering
Education
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Tokyo Institute of Technology Graduate School of Science and Engineering Mechanical and Control engineering
- 2003
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Tokyo Institute of Technology Graduate School of Science and Engineering Department of Mechanical and Control Engineering
- 2003
Country： Japan
Research History
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Tokyo Institute of Technology Graduate School of Science and Engineering, Department of Mechanical and Control Engineering
2008
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Tokyo Institute of Technology Graduate School of Science and Engineering, Department of Mechanical and Control Engineering Researcher
2004 - 2008
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アジレント・テクノロジー株式会社 ソフトウェア開発
2003 - 2004
Professional Memberships
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Information Processing Society of Japan
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IEEE
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情報処理学会
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電子情報通信学会
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IEEE
Awards
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優秀論文賞
2010
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画像センシングシンポジウム優秀学術賞
2009
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オーディエンス賞
2009
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東工大工系若手奨励賞
2009
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手島記念研究賞（発明賞）
2009
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船井情報科学奨励賞
2009
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オーディエンス賞
2008
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ベストオーサー
2008
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若手論文賞
2007
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優秀論文賞
2007
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MIRU長尾賞（最優秀論文賞）
2005
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国際優秀学生賞
2000
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学術奨励賞研究奨励賞
1999
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畠山賞
1998
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畠山賞
1995
Research Projects
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Human bodily sensation centered design of the AI, robot and human interaction
Grant number：25H00578 2025.4 - 2030.3
Japan Society for the Promotion of Science Grants-in-Aid for Scientific Research Grant-in-Aid for Scientific Research (A)
Grant amount：\46020000 （ Direct Cost: \35400000 、 Indirect Cost：\10620000 ）
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深層学習における敵対的損失関数に基づく新しい摂動学習の確立とその応用
Grant number：24K02957 2024.4 - 2028.3
日本学術振興会 科学研究費助成事業 基盤研究(B)
田中 正行, 紋野 雄介
Grant amount：\18460000 （ Direct Cost: \14200000 、 Indirect Cost：\4260000 ）
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Precise 3D Measurement of Aurora Using Fish-Eye Stereo Camera
Grant number：25540114 2013.4 - 2015.3
Japan Society for the Promotion of Science Grants-in-Aid for Scientific Research Grant-in-Aid for Challenging Exploratory Research
YAMASHITA Atsushi, TANAKA Masayuki, KATAOKA Ryuho, MIYOSHI Yoshizumi, OKUTOMI Masatoshi, ASAMA Hajime
Grant amount：\3770000 （ Direct Cost: \2900000 、 Indirect Cost：\870000 ）
In this study, a methodology for 3D measurement and visualization of aurora were proposed. To analyze auroras, two fish-eye cameras were set in Poker Flat Research Range, Alaska, USA. The feature points were detected from a pair of images captured by fish-eye cameras, the three-dimensional points were triangulated, and 3D aurora shapes were visualized in 3D space.
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Image reconstruction with the adaptively learned image model
Grant number：23700194 2011.4 - 2015.3
Japan Society for the Promotion of Science Grants-in-Aid for Scientific Research Grant-in-Aid for Young Scientists (B)
TANAKA Masayuki
Grant amount：\4290000 （ Direct Cost: \3300000 、 Indirect Cost：\990000 ）
In this project, the image model which focuses on the image patch is proposed. In the existing algorithm, the model is learned with a training dataset. However, if the statistical properties of the training dataset is different from a target scene, an algorithm using that model cannot reach the good performance. In the proposed algorithm, the model is adaptively learned with the input image. The proposed algorithm is applied to the image denoising and the image super-resolution. The experimental results demonstrate that the proposed algorithm improves the performance of the image denoising and the image super-resolution.