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![1
DEEP LEARNING JP
[DL Papers]
http://deeplearning.jp/
“Using Simulation and Domain Adaptation to Improve
Efficiency of De...](https://image.slidesharecdn.com/180810dlgraspganlasttrue-180822141945/85/DL-Using-Simulation-and-Domain-Adaptation-to-Improve-Efficiency-of-Deep-Robotic-Grasping-GraspGAN-1-320.jpg?cb=1534947646)
![[Levine+, 2016]の手法
1. 画像とコマンドから把持成功確率を推定するネットワーク(Grasp predictor)
を学習 𝑃 𝑠𝑢𝑐𝑐𝑒𝑠𝑠 𝒙𝒊,𝟎, 𝒙𝒊,𝒄, 𝒗𝒊 = 𝑐𝑜𝑛𝑣 𝒙𝒊,𝟎, 𝒙𝒊,𝒄, 𝒗𝒊
–𝑖はタイ...](https://image.slidesharecdn.com/180810dlgraspganlasttrue-180822141945/85/DL-Using-Simulation-and-Domain-Adaptation-to-Improve-Efficiency-of-Deep-Robotic-Grasping-GraspGAN-5-320.jpg?cb=1534947646)
