Nov 6, 2023 · In this paper, we adopt a different approach. Instead of using deep learning to directly schedule the multi-AGV system, we use it to predict future tasks, and ...

Dec 16, 2023 · Sporadically incoming transportation tasks are scheduled dynamically with respect to deadlines, priorities and available resources, based on different real-time ...

Aug 5, 2023 · AGV real-time scheduling is first defined as a Markov Decision Process (MDP) with the representation of the state, action, reward and optimal mixed rule policy.

Jul 13, 2023 · 2. Literature Review. As this study focuses on the MADP at an ACT and applies a machine learning method to optimize the task allocation and path planning of  ...

Dec 29, 2023 · An optimal configuration of AGV and task can improve the utilization rate and scheduling performance. The remainder of this paper is organized as follows. ...

Apr 26, 2024 · Improving scheduling in multi-AGV systems by task prediction. Hongkai Fan ... Approximation algorithms for scheduling monotonic moldable tasks on multiple ...

Aug 21, 2023 · A* algorithm, which is a scheduling method to arrange the routes for AGV robots. This model can be used to predict the most optimal way to schedule tasks in a ...

Jan 4, 2024 · This study proposes a novel approach that combines multi-objective particle swarm optimization (MOPSO) and the dynamic-window approach (DWA) to enhance AGV path ...

Nov 10, 2023 · 1997]. Many algorithms about scheduling and routing of AGVs have been proposed. However, most of the existing results are applicable to systems with small ...