Swarm AGV Optimization Using Deep Reinforcement Learning

摘要

Behavior design for Automated Guided Vehicles (AGV) systems is an active research area, fundamental for robotics, industrial systems automation. The rise of machine learning neural systems and deep learning make promising results in a multitude of areas including warehouse environments.