Reinforcement learning and convolutional neural network system for firefighting rescue robot

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...

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Bibliographic Details
Main Authors: Yu Tien Kun, Chieh Yang Ming, Samani Hooman
Format: Article
Language:English
Published: EDP Sciences 2018-01-01
Series:MATEC Web of Conferences
Online Access:https://doi.org/10.1051/matecconf/201816103028