Acceleration of Actor-Critic Deep Reinforcement Learning for Visual Grasping in Clutter by State Representation Learning Based on Disentanglement of a Raw Input Image

no code implementations • 27 Feb 2020 • Taewon Kim, Yeseong Park, Youngbin Park, Il Hong Suh

For a robotic grasping task in which diverse unseen target objects exist in a cluttered environment, some deep learning-based methods have achieved state-of-the-art results using visual input directly.

Disentanglement Reinforcement Learning (RL) +1

Tracking Human-like Natural Motion Using Deep Recurrent Neural Networks

no code implementations • 15 Apr 2016 • Youngbin Park, Sungphill Moon, Il Hong Suh

Kinect skeleton tracker is able to achieve considerable human body tracking performance in convenient and a low-cost manner.

Sensor Fusion