In modern smart factories and logistics centers, hundreds or even thousands of AGVs (Automated Guided Vehicles) move silently between production lines and storage racks, completing material handling tasks with precision. Tireless and highly reliable, they have become the "invisible force" of modern industry.

But have you ever wondered how these steel machines think, act, and collaborate?

The autonomous operation of an AGV is not the result of a single technology, but rather a sophisticated system engineering framework. It is driven by four core logics-perception, decision-making, execution, and power supply-and supported by six functional modules. These logics are tightly interconnected, while the modules operate both independently and collaboratively, forming a highly efficient operational system.

If we compare an AGV to an experienced intelligent worker, then:

1. Four Core Logics of AGV: A Complete Closed Loop from Perception to Action

These four logics form a complete closed-loop process for every AGV task.

1. Perception Logic – "Senses": Understanding the Environment

Core Objective:
Enable the AGV to know where it is, where it should go, and whether the surroundings are safe.

Perception is the starting point of intelligence. Through a network of sensors, AGVs collect three types of key information in real time:

Position Information: Determining the AGV's exact location in the map

Path Information: Identifying the predefined route

Environmental Information: Detecting obstacles, humans, or other AGVs

The quality of perception directly determines operational safety and reliability.
Blind spots in perception are safety risks.

Modern AGVs typically adopt multi-sensor fusion and redundancy design to eliminate detection gaps and ensure accurate data for decision-making.

2. Decision Logic – "Brain": Planning and Intelligence

Core Objective:
Enable the AGV to determine how to act next.

Decision-making is a complex real-time computing process:

Task Understanding: Receiving instructions from WMS/WCS systems

Path Planning: Calculating optimal routes considering distance, congestion, and energy consumption

Motion Planning: Determining speed, steering angle, and acceleration

Exception Handling: Deciding how to respond to obstacles, conflicts, or low battery

Advanced scheduling algorithms enable multiple AGVs to move efficiently like coordinated swarms in complex environments.

3. Execution Logic – "Limbs": Turning Decisions into Actions

Core Objective:
Enable the AGV to perform movement and material handling tasks.

Execution bridges digital decisions and physical actions:

Vehicle Motion: Driving, steering, braking, and precise positioning (±5 mm accuracy)

Task Execution: Lifting pallets, towing carts, or transferring goods

Even the best decision is meaningless without accurate execution.

4. Power Supply Logic – "Heart": Sustaining Continuous Operation

Core Objective:
Provide stable, safe, and continuous power to all systems.

Key responsibilities include:

Stable power supply

Battery monitoring (voltage, current, temperature, SOC, SOH)

Intelligent energy management

Support for automatic charging, opportunity charging, and wireless charging

The intelligence of power management directly impacts operational efficiency and lifecycle cost.

2. Six Functional Modules of AGV: The Physical Foundation

1. Navigation Module – "Eyes"

Responsible for localization and path recognition using technologies such as:

LiDAR-based SLAM

Magnetic navigation

Vision navigation

QR/marker navigation

Trend: Marker-free navigation is becoming mainstream.

2. Perception Module – "Skin"

Ensures operational safety through:

Safety LiDAR

Ultrasonic sensors

3D cameras

Emergency stop devices and alarms

Compliant with safety standards such as ISO 13849 and IEC 61508.

3. Control Module – "Brain"

Core system consisting of PLC, MCU, or IPC:

Data fusion

Path planning

Motion control

Communication with upper systems

The control module defines the "intelligence level" of an AGV.

4. Drive Module – "Legs"

Includes motors, wheels, and braking systems:

Servo or BLDC motors

Steering wheels, differential wheels, mecanum wheels

Electromagnetic braking

It determines load capacity, flexibility, and positioning accuracy.

5. Execution & Handling Module – "Arms"

Implements material interaction:

Lifting platforms

Towing hooks

Roller conveyors

Clamping devices

Fork systems

Highly customized based on application scenarios.

6. Power Supply Module – "Heart"

Includes:

Lithium batteries or lead-acid batteries

BMS (Battery Management System)

Charging systems (manual, automatic, battery swap)

7. Chassis Module – "Body"

Provides structural support:

Steel or aluminum frame

Impact protection design

Industrial-grade protection (IP ratings)

3. Mapping Between Logic and Modules

Perception Logic → Navigation + Perception Modules

Decision Logic → Control Module

Execution Logic → Drive + Handling Modules

Power Logic → Power Module

Chassis → Structural support for all systems

4. Workflow: A Complete AGV Operation Cycle

Power-on and system initialization

Localization and environment scanning

Task reception and path planning

Movement and dynamic obstacle avoidance

Precise docking and task execution

Task completion and automatic charging

5. Conclusion: From Individual Intelligence to System Collaboration

AGVs are evolving from standalone intelligent machines to highly coordinated systems:

Device Level: Better perception, smarter decisions, higher precision

System Level: 5G communication, cloud scheduling, multi-AGV collaboration

Understanding AGV architecture helps businesses optimize automation and embrace the future of intelligent manufacturing.