Automated Guided Vehicle Training

Lesson 1 • History and Evolution of AGVs

Traces AGV development from early tow vehicles to modern autonomous systems. Establishes context for understanding current technology capabilities.

Lesson 2 • Key Performance Metrics

Defines throughput, availability, and cycle time as primary AGV performance indicators. Grounds learners in measurable outcomes before deeper technical study.

Lesson 3 • AGV Types and Configurations

Classifies AGVs by load type, movement style, and application. Enables correct vehicle selection for specific operational needs.

Lesson 4 • Core Components and Architecture

Identifies mechanical, electrical, and software subsystems within an AGV. Provides the component vocabulary needed for all subsequent technical chapters.

Lesson 1 • Hybrid Navigation Strategies

Combines multiple guidance methods to maximize reliability in complex facilities. Prepares students to design robust navigation solutions.

Lesson 2 • Vision and Camera-Based Guidance

Examines optical guidance using cameras, QR codes, and visual landmarks. Connects vision systems to hybrid navigation architectures.

Lesson 3 • Natural Feature Navigation

Introduces SLAM-based navigation using environmental features without infrastructure. Shows how map building and localization work together.

Lesson 4 • Laser and Reflector Navigation

Covers laser triangulation using fixed reflectors for precise positioning. Demonstrates how reflector maps are built and maintained.

Lesson 1 • Protective Sensing Devices

Covers laser scanners, bumpers, and light curtains used to detect obstacles. Links sensor selection to safety integrity level requirements.

Lesson 2 • Safety Validation and Auditing

Outlines functional safety testing, documentation, and periodic audit processes. Connects safety design to ongoing operational compliance.

Lesson 3 • Regulatory Framework for AGV Safety

Surveys international safety standards governing AGV design and operation. Establishes compliance obligations before technical safety topics are introduced.

Lesson 4 • Emergency Stop and Safe State

Defines emergency stop categories and safe-state behavior for AGVs. Ensures students can verify correct stop function during commissioning.

Lesson 1 • Charging and Energy Management

Manages battery charging schedules to maintain fleet availability. Connects energy strategy to overall system throughput planning.

Lesson 2 • Traffic Control and Deadlock Prevention

Covers zone blocking, segment reservation, and deadlock detection algorithms. Ensures students can eliminate traffic conflicts in dense AGV environments.

Lesson 3 • Fleet Management System Architecture

Describes the software layers connecting AGVs, warehouse systems, and operators. Provides the structural model for all fleet configuration topics.

Lesson 4 • Task Dispatching and Prioritization

Explains how transport orders are assigned to vehicles based on rules and priorities. Enables students to tune dispatching logic for throughput goals.

Lesson 1 • Barcode and RFID Data Capture

Integrates automatic identification devices on AGVs for load tracking. Ensures inventory accuracy throughout automated material handling cycles.

Lesson 2 • Communication Protocols and Standards

Covers OPC-UA, VDA 5050, and REST-based interfaces used in AGV integration. Equips students to select and implement appropriate protocols.

Lesson 3 • Integration Testing and Go-Live

Validates full system integration through structured test scenarios before live operation. Reduces go-live risk by confirming all interfaces perform under load.

Lesson 4 • ERP and MES Connectivity

Extends AGV integration to production scheduling and enterprise resource systems. Enables material replenishment triggered by production demand signals.

Lesson 1 • Site Survey and Facility Assessment

Evaluates floor conditions, infrastructure, and environmental factors before installation. Prevents costly rework by identifying issues at the planning stage.

Lesson 2 • System Integration and Interface Testing

Verifies communication between AGVs, FMS, and host systems such as WMS. Confirms data exchange accuracy before operational handover.

Lesson 3 • Layout Design and Path Planning

Creates AGV route maps, station locations, and charging positions within facility constraints. Translates operational requirements into a deployable layout.

Lesson 4 • Commissioning Handover and Documentation

Formalizes system acceptance with test records, operator training, and as-built documentation. Establishes the baseline for future maintenance and audits.

Lesson 1 • Mechanical System Inspection

Inspects drive wheels, forks, masts, and structural components for wear and damage. Prevents mechanical failures that cause load drops or collisions.

Lesson 2 • Sensor and Navigation Calibration

Recalibrates safety scanners, encoders, and navigation sensors to specification. Maintains positioning accuracy and safety function integrity over time.

Lesson 3 • Battery and Power System Maintenance

Covers lead-acid and lithium battery care, testing, and replacement criteria. Directly impacts fleet availability and total cost of ownership.

Lesson 4 • Fault Diagnosis and Corrective Action

Applies structured diagnostic methods to identify root causes of AGV faults. Builds systematic troubleshooting skills transferable across vehicle platforms.

Lesson 1 • Data Analytics for Fleet Optimization

Extracts actionable insights from fleet logs to reduce idle time and improve throughput. Connects data analysis skills to measurable operational gains.

Lesson 2 • Autonomous Mobile Robot Convergence

Compares traditional AGVs with AMRs and examines hybrid fleet management approaches. Prepares students for technology decisions in evolving automation landscapes.

Lesson 3 • Total Cost of Ownership Analysis

Calculates lifecycle costs including acquisition, energy, maintenance, and downtime. Enables evidence-based business cases for AGV investment decisions.

Lesson 4 • Simulation for Capacity Planning

Uses discrete-event simulation to size fleets and validate layout changes before implementation. Reduces capital risk by testing scenarios virtually.