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Robot Intelligence Technology and Applications 5

Results from the 5th International Conference on Robot Intelligence Technology and Applications

  • Conference proceedings
  • © 2019

Overview

Editors:
  1. Jong-Hwan Kim

    1. School of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Korea (Republic of)

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  2. Hyun Myung

    1. Department of Civil and Environmental Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Korea (Republic of)

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  3. Junmo Kim

    1. School of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Korea (Republic of)

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  4. Weiliang Xu

    1. Department of Mechanical Engineering, The University of Auckland, Auckland, New Zealand

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  5. Eric T Matson

    1. Department of Computer and Information Technology, Purdue University, West Lafayette, USA

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  6. Jin-Woo Jung

    1. Department of Computer Science and Engineering, Dongguk University, Seoul, Korea (Republic of)

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  7. Han-Lim Choi

    1. Department of Aerospace Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Korea (Republic of)

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  • Presents recent research on robot intelligence technology and applications
  • Includes the outcomes of the 5th International Conference on Robot Intelligence Technology and Applications
  • Written by experts in the field of robot intelligence

Part of the book series: Advances in Intelligent Systems and Computing (AISC, volume 751)

Included in the following conference series:

Conference proceedings info: RiTA 2017.

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Table of contents (46 papers)

  1. Front Matter

    Pages i-xi
    Download chapter PDF

  2. Artificial Intelligence

    1. Front Matter

      Pages 1-1
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    2. Artificial Intelligence Approach to the Trajectory Generation and Dynamics of a Soft Robotic Swallowing Simulator

      • Dipankar Bhattacharya, Leo K. Cheng, Steven Dirven, Weiliang Xu
      Pages 3-16

    3. Reinforcement Learning of a Memory Task Using an Echo State Network with Multi-layer Readout

      • Toshitaka Matsuki, Katsunari Shibata
      Pages 17-26

    4. Selective Filter Transfer

      • Minju Jung, Junmo Kim
      Pages 27-33

    5. Improving Deep Neural Networks by Adding Auxiliary Information

      • Sihyeon Seong, Chanho Lee, Junmo Kim
      Pages 35-41

    6. Improved InfoGAN: Generating High Quality Images with Learning Disentangled Representation

      • Doyeon Kim, Haechang Jung, Jaeyoung Lee, Junmo Kim
      Pages 43-48

    7. Task-related Item-Name Discovery Using Text and Image Data from the Internet

      • Putti Thaipumi, Osamu Hasegawa
      Pages 49-61

    8. An Exploration of the Power of Max Switch Locations in CNNs

      • Jeongwoo Ju, Junho Yim, Sihaeng Lee, Junmo Kim
      Pages 63-72

    9. An Empirical Study on the Optimal Batch Size for the Deep Q-Network

      • Minsuk Choi
      Pages 73-81

    10. Design and Development of Intelligent Self-driving Car Using ROS and Machine Vision Algorithm

      • Aswath Suresh, C. P. Sridhar, Dhruv Gaba, Debrup Laha, Siddhant Bhambri
      Pages 83-98

    11. Intelligent Smart Glass for Visually Impaired Using Deep Learning Machine Vision Techniques and Robot Operating System (ROS)

      • Aswath Suresh, Chetan Arora, Debrup Laha, Dhruv Gaba, Siddhant Bhambri
      Pages 99-112

    12. A Proactive Robot Tutor Based on Emotional Intelligence

      • Siva Leela Krishna Chand Gudi, Suman Ojha, Sidra, Benjamin Johnston, Mary-Anne Williams
      Pages 113-120

    13. Reusability Quality Metrics for Agent-Based Robot Systems

      • Cailen Robertson, Ryoma Ohira, Jun Jo, Bela Stantic
      Pages 121-134

  3. Autonomous Robot Navigation

    1. Front Matter

      Pages 149-149
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    2. SVM-Based Fault Type Classification Method for Navigation of Formation Control Systems

      • Sang-Hyeon Kim, Lebsework Negash, Han-Lim Choi
      Pages 137-151

    3. Indoor Magnetic Pose Graph SLAM with Robust Back-End

      • Jongdae Jung, Jinwoo Choi, Taekjun Oh, Hyun Myung
      Pages 153-163

    4. Multi-robot SLAM: An Overview and Quantitative Evaluation of MRGS ROS Framework for MR-SLAM

      • Mahmoud A. Abdulgalil, Mahmoud M. Nasr, Mohamed H. Elalfy, Alaa Khamis, Fakhri Karray
      Pages 165-183

    5. A Reinforcement Learning Technique for Autonomous Back Driving Control of a Vehicle

      • H. M. Kim, X. Xu, S. Jung
      Pages 185-193

    6. Rapid Coverage of Regions of Interest for Environmental Monitoring

      • Nantawat Pinkam, Abdullah Al Redwan Newaz, Sungmoon Jeong, Nak Young Chong
      Pages 195-209
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  1. Robot Intelligence Technology and Applications 5

Keywords

About this book

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 robot navigation, intelligent robot system design, intelligent sensing and control, and machine vision.

The topics included in this book are deep learning, deep neural networks, image understanding, natural language processing, speech/voice/text recognition, reasoning & inference, sensor integration/fusion/perception, multisensor data fusion, navigation/SLAM/localization, distributed intelligent algorithms and techniques, ubiquitous computing, digital creatures, intelligent agents, computer vision, virtual/augmented reality, surveillance, pattern recognition, gesture recognition, fingerprint recognition, animation and virtual characters, and emerging applications.

This book is a valuable resource for robotics scientists, computer scientists, artificial intelligence researchers and professionals in universities, research institutes and laboratories.



Editors and Affiliations

  • School of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Korea (Republic of)

    Jong-Hwan Kim, Junmo Kim

  • Department of Civil and Environmental Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Korea (Republic of)

    Hyun Myung

  • Department of Mechanical Engineering, The University of Auckland, Auckland, New Zealand

    Weiliang Xu

  • Department of Computer and Information Technology, Purdue University, West Lafayette, USA

    Eric T Matson

  • Department of Computer Science and Engineering, Dongguk University, Seoul, Korea (Republic of)

    Jin-Woo Jung

  • Department of Aerospace Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Korea (Republic of)

    Han-Lim Choi

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