About this document
DRL for Multi-Robot Path Planning by wiem.belhedi is a document available to read on EtoBox.
The document presents a novel model, DRL-MPC-GNNs, that integrates Deep Reinforcement Learning, Model Predictive Control, and Graph Neural Networks to enhance path planning and task allocation in multi-robot systems. This model addresses challenges such as adaptability, real-time decision-making, and efficiency in complex environments, demonstrating significant improvements in collaboration and performance through rigorous experiments. The research contributes to the field of multi-robot systems by providin
- Author
- wiem.belhedi
- Language
- EN