This academic paper discusses the application of machine learning and coordination in multi-robot systems, specifically in the context of robotic soccer. It provides an overview of artificial intelligence and multi-agent systems, before delving into the specifics of machine learning, including deep learning and deep reinforcement learning. The paper also explores the field of intelligent robotics, discussing various applications and simulations for robotics, and the concept of multi-robot coordination. The main focus of the paper is on the use of coordination and machine learning in robotic soccer, with discussions on strategy optimization, team coaching, and various specific skills such as sprinting, running, and dribbling.
Publication date: 29 Dec 2023
Project Page: ?
Paper: https://arxiv.org/pdf/2312.16273
