Hybrid Conferencee

International Conference on AI and Robotics Software Lifecycle Management (ICAIRSLM - 27)

8th - 9th May 2027 | Copenhagen, Denmark
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Expand the Academic Reach of Your Research - a Q1-ranked and Scopus-indexed journal publication opportunity

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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 Copenhagen conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Copenhagen, 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 Copenhagen."
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 3
SDG 3 Good Health and Well-being
SDG 4
SDG 4 Quality Education
SDG 8
SDG 8 Decent Work and Economic Growth
Track 01

Advancements in Artificial Intelligence for Robotics

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

Track 02

Software Lifecycle Management in Robotics Engineering

This session focuses on methodologies and practices for managing the software lifecycle in robotics applications. Emphasis will be placed on best practices for software development, testing, and deployment in robotic systems.

Track 03

Automation and Control Systems in Robotics

This track delves into the design and implementation of automation and control systems for robotic applications. Participants will discuss innovative control strategies and their impact on robotic performance and reliability.

Track 04

Embedded Systems for Intelligent Robotics

This session highlights the role of embedded systems in the development of intelligent robotic solutions. Topics include hardware-software co-design, real-time processing, and the integration of sensors and actuators.

Track 05

Optimization Techniques in Robotics Software Development

This track addresses optimization strategies for improving the efficiency and performance of robotics software. Discussions will cover algorithmic optimizations, resource management, and performance benchmarking.

Track 06

Middleware Solutions for Robotics Integration

This session focuses on middleware technologies that facilitate the integration of various components in robotic systems. Participants will explore communication protocols, data management, and interoperability challenges.

Track 07

Testing and Validation of Robotic Systems

This track examines methodologies for testing and validating robotic systems to ensure reliability and safety. Topics include simulation-based testing, formal verification, and real-world testing scenarios.

Track 08

Machine Learning Applications in Robotics

This session explores the application of machine learning techniques in enhancing robotic functionalities. Participants will discuss case studies and innovative approaches to training robots for complex tasks.

Track 09

Perception Systems for Autonomous Robots

This track focuses on the development of perception systems that enable robots to understand and interact with their environment. Topics include sensor fusion, computer vision, and environmental mapping.

Track 10

Robotics Applications in Industry 4.0

This session highlights the impact of robotics in the context of Industry 4.0, emphasizing automation and smart manufacturing. Discussions will cover real-world applications and the integration of AI in industrial robotics.

Track 11

Future Trends in AI and Robotics Software Engineering

This track looks ahead to emerging trends and technologies in AI and robotics software engineering. Participants will explore the implications of advancements in AI, robotics, and software methodologies for future developments.