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OBJECTIVES

The specific objectives of this proposed Postgraduate Program include:

  • Establishing postgraduate studies and fostering research expansion in the rapidly evolving field of Robotics and Industrial Control, acknowledged for its scientific, economic, and social significance.
  • In‐depth exploration of Industry 4.0 technologies, integrating production methods with advanced technologies in Industrial Control and Robotics, including Cyber‐Physical Systems.
  • Providing high‐level training and specialization for postgraduate students with backgrounds in natural and technological sciences, equipping them with practical and theoretical knowledge to address complex issues in Industrial Control and Robotics. This includes designing and implementing appropriate technological solutions and engaging in relevant research topics.
  • Developing experts capable of effectively handling various applications in robotics and automatic control, utilizing contemporary techniques and cutting‐edge technologies, particularly emphasizing industry and production units (procedures and processes). Additionally, fostering the progress of research and its practical applications in the aforementioned fields.
  • Training personnel from the Greek industrial sector, and beyond, in two pivotal technologies essential for the digital modernization of industry, namely Robotics and Industrial Control.
  • Developing skills related to problem analysis in the MSc subject area and evaluating technology and existing technical solutions within the Industry 4.0 framework.
  • Gaining practical experience in integrating hardware and software to produce technical solutions in the broader field of robotics and automatic control systems.

The proposed Postgraduate Program aims to provide specialized scientific knowledge and serve as a foundation for initiating research endeavors in the following distinct areas:

  • Research, design, and implementation of advanced Industrial Control systems using suitable digital platforms.
  • Research, development, testing, and application of advanced robotic systems.
  • Development, implementation, and application of algorithms in Industrial Control and Robotics to address challenges encountered in industrial and other production units.
  • Design and administration of networked Industrial Control and Robotics systems, encompassing the Industrial Internet of Things (IIOT).
  • Design and creation of interfaces for industrial human‐machine interaction, facilitating control, error diagnosis, and execution of robotic projects.
  • Utilization of Artificial Intelligence and Machine Learning in the realms of Robotics and Industrial Control.
  • Control and mitigation of attacks on Industrial Cyberphysical Systems.
  • Implementation of Robotic Vision Systems.