16 citations · 18 across the 4 of their papers we have counts for
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cs.RO2020
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…
cs.RO2020★ 16 cited
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…