International Conference on AI Robotics Perception and Software Systems (ICARPPSS - 26)

This track focuses on the latest developments in artificial intelligence techniques that enhance robotic capabilities. Researchers are invited to present their findings on AI algorithms, machine learning models, and their applications in various robotic systems.

This session explores the role of perception systems in enabling autonomous robots to interact with their environments effectively. Contributions may include sensor integration, computer vision, and advanced data processing techniques.

This track addresses the unique software engineering challenges faced in the development of robotic systems. Topics include software architecture, design patterns, and methodologies tailored for robotics software development.

This session delves into control systems that govern robotic behavior and automation processes. Papers discussing feedback control, adaptive systems, and real-time control strategies are particularly welcome.

This track highlights innovative machine learning techniques that are transforming the field of robotics. Researchers are encouraged to share their work on supervised, unsupervised, and reinforcement learning applications in robotic systems.

This session focuses on the integration of various software systems within robotic platforms. Topics may include middleware solutions, interoperability standards, and system architecture for seamless integration.

This track examines the design and implementation of embedded systems that power robotic devices. Contributions should address hardware-software co-design, real-time operating systems, and resource-constrained environments.

This session invites papers on optimization methods that enhance the performance and efficiency of robotic systems. Topics include algorithmic optimization, resource allocation, and performance metrics.

This track focuses on methodologies for testing and validating software used in robotic applications. Researchers are invited to present approaches for ensuring reliability, safety, and robustness in robotic software systems.

This session addresses the security vulnerabilities associated with robotics and AI systems. Contributions should explore risk assessment, threat modeling, and strategies for enhancing the security of robotic applications.

This track looks ahead to emerging trends and future directions in AI and robotics engineering. Participants are encouraged to discuss visionary concepts, potential breakthroughs, and the societal implications of advanced robotic technologies.