Automatic Guided Vehicles or AGVs are increasingly being used in manufacturing plants for transportation tasks. Optimal scheduling of AGVs is a difficult problem. A learning AGV is very attractive in a manufacturing plant since it is hard to manually optimize the scheduling algorithm to each new situation. In this paper we compare four reinforcement learning methods for scheduling AGVs. Q-learn...

Students following the Mechatronics Program stream at the University of Waikato often continue to a MSc degree that can involve the design of, or modification to, an Autonomous Guided Vehicle (AGV). Our challenge is to inspire and extend the capabilities of these students, a success that can perhaps be measured by the sophistication of the AGVs currently being produced by our graduates.

Automated Guided Vehicles (AGV) are unmanned transport vehicles widely used in the industrial sector to substitute manned trucks and conveyors. In order guarantee safe operation, AGVs must be equipped with a safety system stop their movement presence of obstacles or humans path. This work presents novel for that is based on Ultra Wideband (UWB) technology. Unlike previous works UWB Real-Time Lo...

At present, discrete workshops demand higher transportation efficiency, but the traditional scheduling strategy of logistics systems can no longer meet requirements. In a system with multiple automated guided vehicles (multi-AGVs), AGV path conflicts directly affect efficiency and coordination whole system. same time, uncertainty number speed AGVs will lead to excessive cost. To solve these pro...

Hierarchical reinforcement learning (RL) is a general framework which studies how to exploit the structure of actions and tasks to accelerate policy learning in large domains. Prior work in hierarchical RL, such as the MAXQ method, has been limited to the discrete-time discounted reward semiMarkov decision process (SMDP) model. This paper generalizes the MAXQ method to continuous-time discounte...

Automatic guidance vehicles (AGV) are industrial that play an important role in the development of smart manufacturing systems and Industry 4.0. To provide these autonomous with flexibility is required today workspaces, AGV computational models necessary order to analyze their performance design efficient planning control strategies. address issues, this work, mathematical model algorithm imple...

In this paper, we present the design and performance analysis of an innovative system for tracking Automated Guided Vehicles (AGVs) in indoor industrial scenarios. An on-board odometer provides information about the dynamic state of the AGV, allowing to predict its pose (i.e., its position and orientation). At the same time, an external Ultra-Wide Band (UWB) wireless network provides the inform...

This paper concerns the coordination and traffic management of a group Automated Guided Vehicles (AGVs) moving in real industrial scenario, such as an automated factory or warehouse. The proposed methodology is based on three-layer control architecture, which described follows: 1) Top Layer (or Topological Layer) allows to model vehicles among different areas environment; 2) Middle path planner...