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International Conference on AI and Robotics Software Development Methodologies - (ICAIRSDM-27)

8th - 9th February 2027 , Nagoya - Japan

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Call For Papers

The (ICAIRSDM-27) emphasizes interdisciplinary collaboration by bringing together experts from diverse fields. It encourages research that integrates multiple perspectives to address complex global challenges.

Key areas such as Artificial Intelligence, Robotics, Software Engineering are explored to promote cross-domain knowledge exchange and collaborative innovation.

Authors are invited to submit papers addressing, but not limited to, the following areas:

  • Agile methodologies for robotics software
  • Software development lifecycle in robotics
  • AI-driven software development tools
  • User-centered design in robotics development
  • Collaboration practices in robotics teams
  • Quality assurance in robotics software
  • Version control for robotics projects
  • Documentation best practices for robotics
  • Open-source contributions to robotics software
  • Testing frameworks for robotics applications
  • Risk management in robotics development
  • Continuous integration in robotics software
  • Ethics in robotics software development
  • Case studies in robotics development methodologies
  • Future trends in robotics software development
  • AI in project management for robotics
  • Training and support for robotics developers
  • Performance metrics for robotics software
  • Integration of AI in development processes
  • Deployment strategies for robotics applications

Assessment

All submissions will undergo peer review to ensure quality and interdisciplinary relevance. Accepted papers will be presented and considered for publication in journals and conference proceedings.

Registration

Registering for the conference provides access to keynote sessions, technical presentations, and networking opportunities with global experts.

Publication

Publishing through the conference enhances the visibility of your research and connects your work with a broader academic audience.