IEEE CCRA 2018 seeks for English written high-quality papers presenting original results in all areas of robotics, automation, and related fields such as machine learning, computer vision and control engineering. Spanish written contributions can be submitted but will not be published by IEEE. All submissions should use the IEEE Transaction, letter size format, with a maximum of 6 pages including references and figures. The template can be found in  https://www.ieee.org/conferences/publishing/templates.html The papers must be sent via Easy Chair through the following link: https://easychair.org/conferences/?conf=ieeeccra2018.

There will be also special track for Ph.D. students. More details in the website

The CCRA 2018 conference proceedings will be submitted to the IEEE Xplore® digital library.Previous editions of CCRA proceedings can be consulted in this link. There will be also a special track for undergraduate student’s projects and PhD students, which will be evaluated for publication. Among others, this conference encourages the submission of contributions in the following topics:

    Agricultural robotic systems
    Unmanned aerial systems
    Marine robotics
    Medical robots
    Swarm robotics
    Tactile & haptics devices
    Educational robotics
    Sensors & actuators
    Computer vision for robotics
    Robotic competitions
    Mechatronics
    Sensing & sensor fusion 
    Systems and signals
    Ethical & legal robotic issues
    Field robotics
    Multi-agent systems
    Personal & service robotics
    Human machine interaction
    Control architectures
    Biomimetic robots
    Locomotion
    Localization, mapping and navigation
    Applied control for robots
    Flexible manufacturing systems
    Path and motion planning
    Distributed & networked systems
    Decision support systems
    Intelligent control
    Systems Identification
    Process automation
    Multi-Robot systems
    Applied control for Robots
    Applied control for industrial and non-industrial areas
    Process optimization
    Modeling of dynamic Systems
    System Identification
    Process Control and Automation