• Matlab
  • Simulink
  • NS3
  • OMNET++
  • NS2

Auto Guided Vehicle with Material Handling and Obstacle Detection is a popular application extensively used in industrial infrastructure. Robotic vehicles are being widely involved in a variety of real–world environments. The major benefits of robots are such as minimized errors, faster performances and increased efficiencies with accuracy.  The designed robots can either operated manually or automatically.

An Auto Guided Vehicle with Material Handling and Obstacle Detection is a robotic vehicle that moves in a particular pre–defined path. Any interrupting objects present in the route are identified priorly. Robots are much trusted to handle materials safely from one place to another without any damages.

Sensors used in robot helps to move in the particular path, identify obstacle and avoid unnecessary collision.

The entire auto guided robotic vehicle is operated by using power and hence they are battery assisted. In recent days, the auto guided vehicles are integrated with Internet of Things which also supports to track location of the moving robot.

Hardware Specifications for Implementing Auto Guided Vehicle for Industrial Purposes

  • Arduino
  • RTC Module
  • Wireless Bluetooth Module
  • Ultrasonic Sensor
  • DC Motor
  • Battery

Let us support students by provisioning with a list of latest topics in embedded systems,

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