ShaoHua Yu

Scheduling of Robotic Cellular Manufacturing Systems with Timed Petri Nets and Reinforcement Learning

This paper proposes a new Petri-net-based Q-learning scheduling method to schedule robotic cellular manufacturing (RCM) systems efficiently. First, we use generalized and place-timed Petri nets to model RCM systems. Then, we design a reinforcement learning method with a sparse Q-table to evaluate st…