International Conference on Automation Technologies in Industrial Engineering (ICATIE - 26)

This track focuses on the latest developments in industrial robotics, emphasizing their integration into manufacturing processes. Participants will explore case studies showcasing the impact of robotic systems on productivity and efficiency.

This session examines the design and implementation of control systems that enhance automation in industrial settings. Discussions will cover both theoretical frameworks and practical applications in various sectors.

This track delves into innovative process automation techniques that streamline operations in manufacturing environments. Attendees will gain insights into the latest tools and methodologies for optimizing production workflows.

Focusing on the concept of smart factories, this session will explore the integration of cyber-physical systems and IoT technologies. Participants will discuss the transformative effects of Industry 4.0 on traditional manufacturing paradigms.

This track highlights the role of programmable logic controllers (PLCs) in contemporary automation systems. Attendees will learn about advancements in PLC technology and their applications in various industrial sectors.

This session addresses strategies for the seamless integration of automation technologies within existing industrial frameworks. Participants will share best practices and case studies on successful integration efforts.

This track focuses on the design principles and innovative approaches in developing robotic systems for industrial applications. Discussions will include design challenges and solutions that enhance functionality and adaptability.

This session explores the critical role of sensor technologies in enhancing automation capabilities. Participants will discuss emerging sensor solutions and their impact on data collection and process monitoring.

This track examines the latest advancements in automated material handling systems, emphasizing their efficiency and reliability. Attendees will explore various technologies and their applications in logistics and supply chain management.

This session investigates the integration of artificial intelligence in automation processes, focusing on machine learning and data analytics. Participants will discuss AI-driven innovations that enhance decision-making and operational efficiency.

This track highlights the significance of machine vision systems in intelligent manufacturing environments. Discussions will center on the application of vision technologies for quality control and process optimization.