The 4th International Conference on Robotics, Automation and Intelligent Control (ICRAIC) will take place in Chengdu. 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 2024 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

    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

Automation

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