Titlebook: Robot Intelligence Technology and Applications 5; Results from the 5th Jong-Hwan Kim,Hyun Myung,Han-Lim Choi Conference proceedings 2019 Sp

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Reinforcement Learning of a Memory Task Using an Echo State Network with Multi-layer Readoutat require memory. Meanwhile, to cover the shortcomings in learning an RNN, the reservoir network (RN) has been often employed mainly in supervised learning. The RN is a special RNN and has attracted much attention owing to its rich dynamic representations. An approach involving the use of a multi-l

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Improving Deep Neural Networks by Adding Auxiliary Informationus stage, we investigated how auxiliary information can affect the deep learning model. By setting the primary class and auxiliary classes, characteristics of deep learning models can be studied when the additional task is added to original tasks. In this paper, we provide a theoretical consideratio

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An Empirical Study on the Optimal Batch Size for the Deep Q-Network performance of the network on task after training, and total time and steps required to train. The neural network is trained for 10 different sizes of batch with other hyper parameter values fixed. The network is able to carry out the cart-pole task with the probability of 0.99 or more with the bat

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Design and Development of Intelligent Self-driving Car Using ROS and Machine Vision Algorithmriving Car system. The system is capable of autonomously driving in places where there is a color difference between the road and the footpath/roadside, especially in gardens/parks. On the basis of the digital image-processing algorithm, which resulted into optimal operation of the self-driving car

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Intelligent Smart Glass for Visually Impaired Using Deep Learning Machine Vision Techniques and Robois for the people who need to navigate independently and feel socially convenient and secure while they do so. It is based on the simple idea that blind people do not want to stand out while using tools for help. This paper focuses on the significant work done in the field of wearable electronics an

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2194-5357 t Intelligence Technology and Applications.Written by expert.This book includes papers from the 5th International Conference on Robot Intelligence Technology and Applications held at KAIST, Daejeon, Korea on December 13–15, 2017. It covers the following areas: artificial intelligence, autonomous rob