28 citations · 132 across the 19 of their papers we have counts for
4 papers · 1 filter
A Multi-task Learning Framework for Grasping-Position Detection and Few-Shot Classification
Yasuto Yokota, Kanata Suzuki, Yuzi Kanazawa +1
It is a big problem that a model of deep learning for a picking robot needs many labeled images. Operating costs of retraining a model becomes very expensive because the object sha…
Online Self-Supervised Learning for Object Picking: Detecting Optimum Grasping Position using a Metric Learning Approach
Kanata Suzuki, Yasuto Yokota, Yuzi Kanazawa +1
Self-supervised learning methods are attractive candidates for automatic object picking. However, the trial samples lack the complete ground truth because the observable parts of t…
HATSUKI : An anime character like robot figure platform with anime-style expressions and imitation learning based action generation
Pin-Chu Yang, Mohammed Al-Sada, Chang-Chieh Chiu +6
Japanese character figurines are popular and have pivot position in Otaku culture. Although numerous robots have been developed, less have focused on otaku-culture or on embodying…
Compensation for undefined behaviors during robot task execution by switching controllers depending on embedded dynamics in RNN
Kanata Suzuki, Hiroki Mori, Tetsuya Ogata
Robotic applications require both correct task performance and compensation for undefined behaviors. Although deep learning is a promising approach to perform complex tasks, the re…