Call for Papers
The 3rd International Conference on Robotics, Automation and Intelligent Control (ICRAIC) will take place in Zhangjiajie. As a newly growing conference in the field of robotics and automation, ICRAIC will bring together relevant researchers to share ideas and advances in our field.
Our discipline is moving forward at a tremendous pace, and the socio-economic impact of our field is expanding. Robotics and automation are increasingly taking center stage in our lives and will play an important role in the future of work in our society. The ICRAIC 2023 conference will provide an ideal forum to share exciting scientific advances that will shape the future of work. The topics of Call for Papers are listed below.
  • Robotics
  • Aircraft Control
  • Micro-nano Robot
  • Nonlinear Systems and Control
  • Intelligent Robot
  • Robust Control and Control System
  • Artificial Intelligence
  • Fuzzy Control and Fuzzy System
  • Neural Networks and Deep Learning
  • Fault Diagnosis and Reliable Control
  • Intelligent Perception and Information Fusion
  • Automatic Control System
  • Pattern Recognition
  • Signal Processing and Big Data
  • Navigation and Guidance
  • Intelligent Manufacturing and Industrial Intelligence
  • Computer Vision and Image Processing
  • Power Electronics and Electrical Machines
  • Modeling and Intelligent Control
  • Data Mining
  • Computer Vision
  • Embedded System
  • Natural Language Processing
  • Recommender System
  • Software Development
  • Human-Computer Interaction
    • Signal Detection and Transformation
    • Digital Signal Processing
    • Information Processing
    • Machine Learning
    • Robotics and Automation
    • Intelligent Transportation Logistics
    • Transmission and Mechanical Drive System
    Intelligent Control
    • Control Theory
    • Sensor and Detection Technology
    • Operations Research
    • Precision Motion Control
    • Expert System
    • Genetic Algorithm
    • Automatic Control System
    • Distributed Control
    • Motion Control
    • Network Control
    • Neural Control
    • Adaptive Control
    • Process Control
    • Modeling and Simulation Technology