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Call For Papers

The ICMLRSS bridges the gap between academia and industry by promoting research with practical applications. It provides a platform for professionals and researchers to share insights that drive real-world impact.

The conference focuses on Artificial Intelligence,Robotics,Software Engineering, encouraging applied research, case studies, and industry-driven innovations.

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

  • Machine learning algorithms for robotics
  • Deep learning in robotic perception
  • Reinforcement learning for robot control
  • Data-driven robotics software development
  • Transfer learning in robotic applications
  • Machine learning for robotic manipulation
  • AI-driven simulation for robotics
  • Robustness of ML models in robotics
  • ML techniques for robotic vision systems
  • Collaborative learning in robotics software
  • Machine learning for autonomous navigation
  • Real-time learning in robotic systems
  • Ethics of machine learning in robotics
  • ML frameworks for robotic software
  • Scalable machine learning in robotics
  • Interpretable machine learning in robotics
  • Federated learning for robotics applications
  • ML for adaptive robotic systems
  • Benchmarking ML algorithms in robotics
  • Future directions in ML for robotics

Evaluation

Submissions will be evaluated based on applicability, innovation, and research contribution. Accepted papers will be presented and considered for publication in relevant journals and proceedings.

Registration

Complete your registration to participate in discussions that bridge academia and industry, and gain exposure to practical insights.

Publication

Selected papers will be considered for publication platforms that support academic and industry collaboration.