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International Conference on Robotics Software Engineering with AI

10th Oct – 11th Oct 2026 Munich, Germany Standard / Physical Participation
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ConferenceICRSEA
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SDG Wheel

SDG-Aligned Research Themes

International Conference on Robotics Software Engineering with AI conference tracks support global knowledge exchange, innovation, and sustainable development priorities across diverse disciplines.

SDG 4 - Quality Education SDG 8 - Decent Work and Economic Growth SDG 9 - Industry, Innovation and Infrastructure SDG 11 - Sustainable Cities and Communities

This track focuses on the latest methodologies and frameworks in robotics software engineering. It aims to explore innovative approaches that enhance the development and deployment of robotic systems.

This session will delve into the integration of artificial intelligence within robotic applications. Papers will discuss case studies and novel AI techniques that improve robotic functionalities and decision-making.

This track emphasizes the role of machine learning in advancing robotic capabilities. Contributions will highlight algorithms and models that enable robots to learn from their environments and experiences.

This session addresses the critical aspects of system design and architecture in robotics. It will cover best practices and innovative designs that facilitate the integration of various robotic components.

This track explores the development and implementation of automation and control systems in robotic applications. Papers will examine techniques that enhance the precision and reliability of robotic operations.

This session focuses on perception systems that enable robots to interpret and interact with their surroundings. Contributions will discuss advancements in sensor technologies and data processing techniques.

This track investigates middleware solutions that facilitate communication and interoperability among robotic components. Papers will highlight frameworks that enhance system integration and performance.

This session will cover optimization strategies aimed at improving the efficiency of robotics software. Contributions will discuss algorithmic advancements that lead to better resource management and performance.

This track focuses on the role of embedded systems in the development of robotic technologies. Papers will explore hardware-software co-design and the challenges of integrating embedded solutions in robotics.

This session emphasizes the development of AI algorithms specifically tailored for robotic control systems. Contributions will discuss innovative approaches that enhance the adaptability and responsiveness of robots.

This track addresses the critical need for testing and validation in robotics software engineering. Papers will explore methodologies that ensure the reliability and safety of robotic systems in real-world applications.

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