This track focuses on the latest developments in robotics software frameworks that enhance the capabilities of robotic systems. Contributions will explore innovative architectures, tools, and methodologies that facilitate the design and implementation of complex robotic applications.

This session will delve into the integration of artificial intelligence techniques in robotics, emphasizing machine learning and deep learning applications. Papers will discuss novel algorithms and their impact on robotic perception, decision-making, and autonomy.

This track addresses the challenges of system design and optimization in robotic systems. Contributions will focus on methodologies that improve performance, efficiency, and reliability in various robotic applications.

This session will explore middleware solutions that facilitate communication and interoperability among robotic components. Papers will highlight frameworks that enhance system integration and support distributed robotic systems.

This track emphasizes the role of embedded systems in the robotics domain, focusing on hardware-software co-design and real-time processing. Contributions will discuss design methodologies, challenges, and innovations in embedded robotics systems.

This session will investigate automation techniques and control strategies for robotic systems. Papers will cover topics such as feedback control, adaptive systems, and the role of AI in enhancing automation.