Advanced Machine Learning for Intelligent Robotics

Dear Colleagues,

Recently, machine learning represented by deep learning has developed rapidly and has been successfully applied to various fields, including computer vision, natural language processing, and decision making. Intelligent robotics is one of the promising applications of machine learning, because intelligent robots need not only robot hardware design and control but also robot vision, robot sensor fusion, robot navigation, decision making, and human-robot interaction. This may seem similar to applying machine learning to traditional fields such as computer vision and to intelligent robots, but there are notable differences because we need to consider the characteristics of robots. Therefore, this Special Issue focuses on research into applying machine learning to robotics. The scope of this Special Issue covers machine-learning-based robot control, robot navigation, robot vision, robot sensor fusion, decision making, and human-robot interaction, among others.

Prof. Dr. Ji-Hyeong Han
Prof. Dr. Inbae Jeong
Prof. Dr. Ki-baek Lee
Guest Editors

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