Abstract
Automated industrial vehicles are taking an imposing place by transforming the industrial operations, and contributing to an efficient in-house transportation of goods. They are expected to bring a variety of benefits towards the Industry 4.0 transition. However, Self-Guided Vehicles (SGVs) are battery-powered, unmanned autonomous vehicles. While the operating durability depends on self-path design, planning energy-efficient paths become crucial. Thus, this paper has no concrete contribution but highlights the lack of energy consideration of SGV-system design in literature by presenting a review of energy-constrained global path planning. Then, an experimental investigation explores the long-term effect of battery level on navigation performance of a single vehicle. This experiment was conducted for several hours, a deviation between the global trajectory and the ground-true path executed by the SGV was observed as the battery depleted. The results show that the mean square error (MSE) increases significantly as the battery’s state-of-charge decreases below a certain value.
Highlights
Automated Guided Vehicles (AGVs) have transformed the way we conceive of the transportation of materials
4.0. performance, By providing some evidences about the influence of the battery state-of-charge (SOC)of onindustry the motion some evidences about the influence of the battery state‐of‐charge (SOC) on the motion performance, this paper aims at highlighting the necessity to consider energy‐related constraints during an earlier stage of the global path planning in the context of industry 4.0
State‐of‐the‐Art this paper aims at highlighting the necessity to consider energy-related constraints during an earlier stage of the global path planning in the context of industry 4.0
Summary
Automated Guided Vehicles (AGVs) have transformed the way we conceive of the transportation of materials. Introduced in the early 1950s, their main task was for intralogistics application [1]. This includes production-to-assembly transfers, warehouse picking and depositing and pharmaceutical supply, among others. They are considered to have a high initial investment, they reduce labor costs, improve operational flow and dramatically increase production rates. First AGVs were implemented with primitive devices, and the early guidance system used are tactile sensor-based embedded on or in the floor, such as conductors, optical guides, or magnetic tape, allowing the vehicle to move only in restricted areas [1]. The performances of the vehicle, such as speed and safety, are limited
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