AI-Driven Path Planning for Multi-Robot Coordination

Authors

  • Ali Ahmed Khan Department of Electrical Engineering, University of Engineering and Technology (UET) Lahore, Pakistan
  • Fatima Zahra Department of Computer Science, COMSATS University Islamabad, Lahore Campus, Pakistan
  • Imran Tariq Department of Robotics and Automation, National University of Sciences and Technology (NUST), Islamabad, Pakistan

Keywords:

AI, path planning, multi-robot systems, coordination, decentralized algorithms, hybrid optimization, dynamic environments, scalability

Abstract

The integration of Artificial Intelligence (AI) in multi-robot systems has revolutionized path planning, enabling efficient coordination in complex environments. This paper presents a comprehensive review of AI-driven path planning techniques for multi-robot coordination, focusing on algorithms that enhance autonomy, scalability, and adaptability. We categorize existing methods into centralized, decentralized, and hybrid approaches, analyzing their strengths and limitations. The study also highlights the challenges faced in dynamic and uncertain environments and discusses future directions for research in this domain.

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Published

2024-12-31

Issue

Jul-Dec 2024

Section

Articles

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