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Call For Papers

The ICARML 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 Machine Learning, 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 for robotic perception
  • Autonomous navigation algorithms
  • Human-robot interaction techniques
  • Machine learning for robotic control
  • Sensor integration in robotics
  • Robotics applications in healthcare
  • Collaborative robotics and machine learning
  • Robotic learning from demonstration
  • Machine learning for swarm robotics
  • Safety and ethics in robotics
  • Machine learning for robotic manipulation
  • Real-time decision making in robotics
  • Robotic vision systems using ML
  • Machine learning for autonomous drones
  • Robotics in industrial automation
  • Future trends in robotics technology
  • Machine learning for agricultural robotics
  • Data-driven approaches in robotics
  • Robotics for disaster response
  • Machine learning for robotic path planning

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.

Submit Your Paper Now Confirm Your Participation Today
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