Hybrid Conferencee

International Conference on AI and Robotics Software Architecture (ICAIRSA - 26)

14th - 15th August 2026 | Mecca, Saudi Arabia

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Call for Papers Extended:
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Certificate of Presentation:
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Abstract Submissions Open:
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Networking with Global Experts:
"Engage with researchers and professionals from around the world at the Mecca conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Mecca, featuring global leaders and innovators sharing their knowledge."
Best Paper & Best Paper Presentation Award:
"Submit your paper and stand a chance to win the Best Paper Presentation Award. The winner will be recognized at the conference in Mecca."
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 7
SDG 7 Affordable and Clean Energy
SDG 9
SDG 9 Industry, Innovation and Infrastructure
Track 01

Advancements in Artificial Intelligence for Robotics

This track focuses on the latest developments in artificial intelligence techniques that enhance robotic capabilities. Topics include machine learning algorithms, perception systems, and decision-making processes in autonomous robots.

Track 02

Software Architecture for Intelligent Robotics Systems

This session explores the design and implementation of software architectures that support intelligent robotic systems. Emphasis will be placed on modularity, scalability, and the integration of AI components.

Track 03

Robotics Engineering: Challenges and Innovations

This track addresses current challenges in robotics engineering and showcases innovative solutions. Discussions will include hardware-software integration, control systems, and real-world applications of robotics.

Track 04

Machine Learning Applications in Robotics

This session highlights the application of machine learning techniques in various robotic domains. Case studies will demonstrate how these methods improve robot performance and adaptability.

Track 05

Middleware Solutions for Robotics Systems

This track investigates middleware frameworks that facilitate communication and interoperability among robotic components. Participants will explore how these solutions enhance system integration and functionality.

Track 06

Embedded Systems in Robotics

This session focuses on the role of embedded systems in the development of robotic applications. Topics include hardware design, real-time processing, and the challenges of resource-constrained environments.

Track 07

Optimization Techniques in Robotics

This track examines optimization methods that improve the efficiency and effectiveness of robotic systems. Participants will discuss algorithms for path planning, resource allocation, and performance tuning.

Track 08

Control Systems for Autonomous Robotics

This session delves into advanced control strategies for autonomous robots. Topics will include feedback control, adaptive control, and the integration of AI for enhanced autonomy.

Track 09

Perception Systems in Robotics

This track focuses on the development of perception systems that enable robots to understand and interact with their environment. Discussions will cover sensor technologies, data fusion, and real-time processing.

Track 10

Robotics Frameworks and Development Platforms

This session explores various frameworks and platforms that facilitate robotics development. Participants will share experiences with tools that streamline the design, testing, and deployment of robotic systems.

Track 11

System Integration in Robotics Engineering

This track addresses the complexities of system integration in robotics engineering. Emphasis will be placed on collaborative approaches, standards, and methodologies that enhance interoperability among robotic systems.