Multiple Mobile Robot

Multiple mobile robot systems aim to coordinate the actions of multiple robots to achieve complex tasks more efficiently than individual robots. Current research focuses on improving control strategies, often employing bio-inspired neural networks, geometric graph neural networks, or behavior trees, to manage robot interactions and path planning, especially in scenarios involving potential collisions or limited communication bandwidth. These advancements are crucial for applications like warehouse automation and collaborative tasks in challenging environments, improving efficiency and robustness in real-world deployments.