Ultrasound-Guided Robotic Navigation with Deep Reinforcement Learning

30 Mar 2020Hannes HaseMohammad Farid AzampourMaria TirindelliMagdalini PaschaliWalter SimsonEmad FatemizadehNassir Navab

In this paper we introduce the first reinforcement learning (RL) based robotic navigation method which utilizes ultrasound (US) images as an input. Our approach combines state-of-the-art RL techniques, specifically deep Q-networks (DQN) with memory buffers and a binary classifier for deciding when to terminate the task... (read more)

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