Flex Conference (Physical / Digital)

International Conference on Robotics Software Engineering with AI - (ICRSEAI-27)

8th - 9th June 2027 , Shanghai - China

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Call For Papers

The (ICRSEAI-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:

  • AI-Enhanced Software Development for Robotics
  • Robotics Software Testing and Validation
  • Software Engineering Practices in Robotics
  • AI Algorithms for Robotic Systems
  • Robotics Software for Autonomous Navigation
  • Human-Robot Interaction Software Design
  • Robotics Software for Industrial Automation
  • AI in Robotics Simulation Tools
  • Robustness and Reliability in Robotics Software
  • Collaborative Robotics Software Development
  • Ethical Considerations in Robotics Software
  • Future Trends in Robotics Software Engineering
  • AI Techniques for Robotics Software Maintenance
  • User-Centric Design in Robotics Software
  • Software Architecture for AI Robotics
  • Security in Robotics Software Systems
  • AI for Robotics Software Optimization
  • Robotics Software for Healthcare Applications
  • Best Practices in Robotics Software Engineering
  • AI-Driven Innovations in Robotics Software

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.