Hybrid Conferencee

International Conference on AI Robotics Software for Industrial Applications (ICARSIA - 26)

10th - 11th October 2026 | Dublin, Ireland

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Certificate of Presentation:
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Abstract Submissions Open:
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Networking with Global Experts:
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Keynote Speaker Sessions:
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Best Paper & Best Paper Presentation Award:
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SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Conference Session Tracks

SDG Wheel

Aligned with

UN Sustainable Development Goals

This conference contributes to global sustainability by aligning its research discussions and academic sessions with key United Nations Sustainable Development Goals. It fosters knowledge exchange, innovation, and collaborative engagement.

SDG 4
SDG 4 Quality Education
SDG 8
SDG 8 Decent Work and Economic Growth
SDG 9
SDG 9 Industry, Innovation and Infrastructure
Track 01

Advancements in AI for Industrial Automation

This track focuses on the latest developments in artificial intelligence technologies that enhance automation in industrial settings. Participants will explore case studies and innovative applications that demonstrate the transformative impact of AI on operational efficiency.

Track 02

Robotics in Manufacturing: Innovations and Challenges

This session will delve into the role of robotics in modern manufacturing processes, highlighting both innovative solutions and the challenges faced by engineers. Discussions will include the integration of robotic systems and their implications for productivity and safety.

Track 03

Software Engineering Practices for AI-Driven Systems

This track examines best practices in software engineering tailored for the development of AI-driven applications. Emphasis will be placed on methodologies that ensure reliability, scalability, and maintainability in complex systems.

Track 04

Machine Learning Applications in Robotics

Participants will explore the intersection of machine learning and robotics, focusing on how advanced algorithms can enhance robotic perception and decision-making. Case studies will illustrate successful implementations across various industrial applications.

Track 05

Control Systems for Autonomous Robotics

This session addresses the design and implementation of control systems that enable autonomous operation in robotic applications. Topics will include feedback mechanisms, stability analysis, and real-time control strategies.

Track 06

Embedded Systems in Robotics: Design and Optimization

This track focuses on the design and optimization of embedded systems specifically for robotic applications. Participants will discuss hardware-software co-design, power management, and performance optimization techniques.

Track 07

Middleware Solutions for Robotics Integration

This session will explore middleware architectures that facilitate the integration of diverse robotic systems and components. Emphasis will be placed on interoperability, communication protocols, and system scalability.

Track 08

Perception Systems in Robotics: Techniques and Applications

Participants will investigate various perception techniques used in robotics, including computer vision and sensor fusion. The track will highlight applications that leverage perception for improved interaction with dynamic environments.

Track 09

Optimization Techniques for Industrial Robotics

This track will cover optimization methodologies that enhance the performance of robotic systems in industrial applications. Topics will include algorithmic approaches, performance metrics, and real-world case studies.

Track 10

System Integration Challenges in AI Robotics

This session addresses the challenges associated with integrating AI and robotics systems within existing industrial frameworks. Discussions will focus on strategies for seamless integration and the role of standards in facilitating interoperability.

Track 11

Future Trends in AI and Robotics for Industry

Participants will explore emerging trends and future directions in AI and robotics for industrial applications. The track will encourage forward-thinking discussions on the potential impact of these technologies on the future of work and industry.