Youngbin Park

About

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Research Focus

Key Achievements

Top Papers

1. 1
   Acceleration of Actor-Critic Deep Reinforcement Learning for Visual Grasping by State Representation Learning Based on a Preprocessed Input Image

   14 citations · 2021
2. 2
   Sim-to-Real Visual Grasping via State Representation Learning Based on Combining Pixel-Level and Feature-Level Domain Adaptation

   9 citations · 2021
3. 3
   Acceleration of Actor-Critic Deep Reinforcement Learning for Visual Grasping in Clutter by State Representation Learning Based on Disentanglement of a Raw Input Image

   7 citations · 2020
4. 4
   Predicting Multiple Pregrasping Poses by Combining Deep Convolutional Neural Networks with Mixture Density Networks

   4 citations · 2016
5. 5
   Object Singulation by Nonlinear Pushing for Robotic Grasping

   3 citations · 2019
6. 6
   Development of an Actor-Critic Deep Reinforcement Learning Platform for Robotic Grasping in Real World

   3 citations · 2020
7. 7
   Map-Building and Localization by Three-Dimensional Local Features for Ubiquitous Service Robot

   3 citations · 2007
8. 8
   Integration of top-down and bottom-up visual processing using a recurrent convolutional–deconvolutional neural network for semantic segmentation

   3 citations · 2019

Key Collaborators