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International Conference on AI-driven Robotics Software Security Challenges

10th Oct – 11th Oct 2026 Rome, Italy Standard / Physical Participation

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ConferenceICARSSC

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Conference Session Tracks

SDG-Aligned Research Themes

International Conference on AI-driven Robotics Software Security Challenges conference tracks support global knowledge exchange, innovation, and sustainable development priorities across diverse disciplines.

SDG 9 - Industry, Innovation and Infrastructure

SDG 11 - Sustainable Cities and Communities

SDG 16 - Peace, Justice and Strong Institutions

This track focuses on the integration of artificial intelligence in enhancing the security of robotic systems. It aims to explore innovative approaches to mitigate vulnerabilities and threats in AI-driven robotics.

This session will delve into best practices in software engineering specifically tailored for robotics applications. Topics may include software development life cycles, version control, and collaborative methodologies.

This track examines the application of machine learning algorithms in improving perception systems within robotics. It will cover advancements in computer vision, sensor fusion, and environment understanding.

This session addresses the challenges of risk management in the context of AI-driven robotics. Participants will discuss frameworks and methodologies for identifying, assessing, and mitigating risks associated with robotic systems.

This track focuses on the role of embedded systems in the development of robotic applications. Discussions will include hardware-software integration, real-time processing, and system optimization.

This session explores the design and implementation of automation and control systems in robotics. Emphasis will be placed on control algorithms, feedback mechanisms, and system stability.

This track investigates the role of middleware in facilitating communication and interoperability among robotic components. Topics will include service-oriented architectures, data exchange protocols, and system integration.

This session focuses on methodologies for testing and validating software in robotic systems. Participants will explore automated testing frameworks, simulation environments, and verification techniques.

This track examines optimization strategies to enhance the performance of robotic systems. Discussions will include algorithmic approaches, resource management, and efficiency improvements.

This session addresses the ethical implications and security concerns associated with AI in robotics. Participants will explore frameworks for responsible AI use and the impact on society.

This track looks ahead at emerging trends and technologies in AI and robotics software security. Discussions will focus on anticipated challenges and innovative solutions in the evolving landscape.