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Automated guided vehicle (AGV)

Written by the Fiveable Content Team • Last updated September 2025
Written by the Fiveable Content Team • Last updated September 2025

Definition

An automated guided vehicle (AGV) is a type of mobile robot used in industrial applications to transport materials and goods within a facility without human intervention. AGVs navigate through predefined paths or routes using various technologies like lasers, magnets, or cameras, making them essential for improving efficiency and reducing labor costs in logistics and transportation systems.

5 Must Know Facts For Your Next Test

  1. AGVs can significantly reduce operational costs by minimizing the need for manual labor in transporting goods across facilities.
  2. They enhance safety by limiting human interaction with potentially hazardous environments or heavy machinery.
  3. AGVs can be programmed to perform various tasks including loading, unloading, and transporting items, which increases their versatility.
  4. Many AGVs utilize advanced navigation systems, such as LIDAR or vision-based technologies, to detect obstacles and adapt to their surroundings.
  5. The integration of AGVs into logistics systems can lead to increased productivity and more efficient inventory management.

Review Questions

  • How do automated guided vehicles (AGVs) contribute to improving operational efficiency in logistics?
    • Automated guided vehicles (AGVs) improve operational efficiency by automating material transportation tasks that would otherwise require manual labor. By navigating predefined paths with minimal human intervention, AGVs help streamline workflows, reduce transit times, and lower labor costs. This automation allows companies to allocate resources more effectively and focus on core business functions while ensuring that materials are moved efficiently throughout the facility.
  • Discuss the technological advancements that have enhanced the capabilities of AGVs in modern logistics operations.
    • Technological advancements such as LIDAR, computer vision, and AI-based navigation algorithms have significantly enhanced AGVs' capabilities in modern logistics. These technologies enable AGVs to detect and avoid obstacles in real-time, navigate dynamic environments, and optimize routes for efficiency. The incorporation of these advanced technologies allows AGVs to operate with higher precision and reliability, making them invaluable assets in various industrial applications.
  • Evaluate the impact of implementing AGVs on workforce dynamics within a logistics environment.
    • Implementing AGVs can lead to significant shifts in workforce dynamics within a logistics environment by changing the nature of job roles. While some manual positions may become redundant due to automation, new opportunities may arise in areas such as maintenance, programming, and system management for AGVs. Additionally, by alleviating employees from repetitive transport tasks, AGVs allow workers to focus on more complex and strategic roles that require human judgment and creativity, ultimately enhancing overall job satisfaction and productivity.