文章基本信息

标题：Reinforcement learning and convolutional neural network system for firefighting rescue robot
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作者：Tien Kun Yu ; Yang Ming Chieh ; Hooman Samani 等
期刊名称：MATEC Web of Conferences
电子版ISSN：2261-236X
出版年度：2018
卷号：161
DOI：10.1051/matecconf/201816103028
语种：English
出版社：EDP Sciences
摘要：In this paper, we combine the machine learning and neural network to build some modules for the fire rescue robot application. In our research, we build the robot legs module with Q-learning. We also finish the face detection with color sensors and infrared sensors. It is usual that image fusion is done when we want to use two kinds of sensors. Kalman filter is chosen to meet our requirement. After we finish some indispensable steps, we use sliding windows to choose our region of interest to make the system’s calculation lower. The least step is convolutional neural network. We design a seven layers neural network to find the face feature and distinguish it or not.