Presentation 2021-01-22
Verification of a Visuomotor Integration Model for Grasping the Cups of Different Sizes with a Multi-Fingered Robot Hand
Motoi Matsuda, Naohiro Fukumura,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) Object recognition and object grasping using image recognition methods have been actively researched, but most of them classify limited objects given as supervised learning and determine the gripping shape. In this study, a real robot hand with four fingers is used to grasp a cup of different size by multiple hand shapes. The modular auto-encoder that inputs the images of the cup and the shape of the hand at the same time is trained. After the learning, we confirmed that the size of the cups that is the features of the object is extracted.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Object Grasping / Object Recognition / Neural Network Model / Auto-Encoder / Feature Extraction
Paper # NC2020-36
Date of Issue 2021-01-14 (NC)

Conference Information
Committee NC / NLP
Conference Date 2021/1/21(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Online
Topics (in Japanese) (See Japanese page)
Topics (in English) NC,NLP
Chair Kazuyuki Samejima(Tamagawa Univ) / Kiyohisa Natsume(Kyushu Inst. of Tech.)
Vice Chair Rieko Osu(Waseda Univ.) / Takuji Kosaka(Chukyo Univ.)
Secretary Rieko Osu(NTT) / Takuji Kosaka(ATR)
Assistant Ken Takiyama(TUAT) / Nobuhiko Wagatsuma(Toho Univ.) / Toshikaza Samura(Yamaguchi Univ.) / Hideyuki Kato(Oita Univ.)

Paper Information
Registration To Technical Committee on Neurocomputing / Technical Committee on Nonlinear Problems
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Verification of a Visuomotor Integration Model for Grasping the Cups of Different Sizes with a Multi-Fingered Robot Hand
Sub Title (in English)
Keyword(1) Object Grasping
Keyword(2) Object Recognition
Keyword(3) Neural Network Model
Keyword(4) Auto-Encoder
Keyword(5) Feature Extraction
1st Author's Name Motoi Matsuda
1st Author's Affiliation Toyohashi University of Technology(Toyohashi Univ. of Tech)
2nd Author's Name Naohiro Fukumura
2nd Author's Affiliation Toyohashi University of Technology(Toyohashi Univ. of Tech)
Date 2021-01-22
Paper # NC2020-36
Volume (vol) vol.120
Number (no) NC-331
Page pp.pp.24-28(NC),
#Pages 5
Date of Issue 2021-01-14 (NC)