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Sangok Seok

2 accepted papers

2019

Deep Reinforcement Learning of Navigation in a Complex and Crowded Environment with a Limited Field of View

ICRA 2019poster

Mobile robots are required to navigate freely in a complex and crowded environment in order to provide services to humans. For this navigation ability, deep reinforcement learning (DRL)-based methods are gaining increasing attentions. However, existing DRL methods require a wide field of view (FOV),…

Cited by 85SourceScholar
2018

Applying Asynchronous Deep Classification Networks and Gaming Reinforcement Learning-Based Motion Planners to Mobile Robots

ICRA 2018poster

In this paper, we propose a new methodology to embed deep learning-based algorithms in both visual recognition and motion planning for general mobile robotic platforms. A framework for an asynchronous deep classification network is introduced to integrate heavy deep classification networks into a mo…

Cited by 11SourceScholar