Hybrid Conferencee

International Conference on AI-driven Robotics Software Maintenance (ICARSM - 26)

22nd - 23rd September 2026 | Johannesburg, South Africa

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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:
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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

AI Techniques in Robotics Software Maintenance

This track focuses on the application of artificial intelligence techniques to enhance the maintenance processes of robotics software. Papers will explore innovative algorithms and methodologies that improve software reliability and efficiency in robotic systems.

Track 02

Robotics Engineering and AI Integration

This session aims to discuss the integration of artificial intelligence within robotics engineering frameworks. Contributions will highlight case studies and practical implementations that demonstrate the synergy between AI and robotics.

Track 03

System Design for Intelligent Robotics

This track invites papers that delve into the design principles of intelligent robotic systems. Emphasis will be placed on architectural frameworks that facilitate the incorporation of AI for enhanced functionality.

Track 04

Automation in Robotics Software Development

This session will cover advancements in automation tools and methodologies for robotics software development. Submissions should address how automation can streamline processes and reduce human error in software maintenance.

Track 05

Control Systems in AI-Driven Robotics

This track will explore the role of control systems in the operation of AI-driven robotic applications. Papers should focus on innovative control strategies that leverage AI to improve performance and adaptability.

Track 06

Perception Systems for Autonomous Robotics

This session focuses on the development of perception systems that enable autonomous robots to interpret and interact with their environments. Contributions should discuss AI methodologies that enhance sensory data processing and decision-making.

Track 07

Embedded Systems in Robotics Applications

This track will investigate the role of embedded systems in the functionality of robotic applications. Papers should highlight the integration of AI in embedded platforms to optimize performance and resource management.

Track 08

Optimization Techniques for Robotics Software

This session aims to present optimization techniques that enhance the performance of robotics software. Contributions should focus on algorithmic improvements and their practical implications in real-world robotic systems.

Track 09

Middleware Solutions for Robotics Integration

This track will discuss middleware solutions that facilitate the integration of various robotics components and systems. Papers should explore how middleware can support AI-driven functionalities and improve interoperability.

Track 10

Software Engineering Practices in Robotics

This session will focus on software engineering best practices tailored for robotics applications. Contributions should address methodologies that ensure quality, maintainability, and scalability of robotics software.

Track 11

Testing and Validation of AI-Driven Robotics Systems

This track will explore testing and validation methodologies specific to AI-driven robotics systems. Papers should discuss frameworks and tools that ensure the reliability and safety of robotic applications in various environments.