International Conference on AI-driven Robotics Path Planning ICARPP

Call For Papers

The ICARPP 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:

AI-driven algorithms for path planning

Robustness in robotic path planning systems

Real-time path planning for autonomous robots

Machine learning in path planning

Collaborative path planning for robots

AI techniques for dynamic environments

Path planning for multi-robot systems

Ethical considerations in path planning

AI-enhanced obstacle avoidance strategies

Path planning for service robots

Predictive path planning using AI

Future directions in robotic path planning

AI for efficient route optimization

Path planning in uncertain environments

User-centered design in path planning systems

AI applications in urban robotics navigation

Benchmarking path planning algorithms

Integration of AI in path planning software

Path planning for autonomous vehicles

Challenges in real-time path planning

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

Registration

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

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Publication

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

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Hybrid Event