For the industry 4.0 the importance of robotics and automation has increased sufficiently. There would be need of robots that can handle and perform pick and place tasks and can move the material from one place to another. For this purpose we have planned to build an Automatic Guided Vehicle (AGV) t
AUTOMATED GUIDED VEHICLE WITH ROBOTICS LOGISTICS SYSTEM USING AI
For the industry 4.0 the importance of robotics and automation has increased sufficiently. There would be need of robots that can handle and perform pick and place tasks and can move the material from one place to another. For this purpose we have planned to build an Automatic Guided Vehicle (AGV) that can move the logistics in a manufacturing plant from one place to another integrated with an autonomous electromagnetic arm that can pick and place the metal pieces at desired locations and this tedious task can be performed using the most featured technology of industry 4.0 i.e. Artificial intelligence and Robotics.
Our project includes the four main objectives:
We will be following the below strategy for the implementation of our project:
FIRST STEP
We will be purchasing the robotic arm chassis with motors.
SECOND STEP
The second step is to assemble the robotic arm.
THIRD STEP
After the assembling of robotic arm we will program our robotic arm using inverse kinematics algorithm where we would be using Arduino mega to control the motors of robotic arm and raspberry pi 4 for higher computations of inverse kinematics that will help in pick and place of the objects in the workspace of robotic arm.
FOURTH STEP
After these steps have been completed we will be constructing the mechanical part of AGV using wood material.
FIFTH STEP
Our fifth step is to install the dc motors at the base of the AGV which will be controlled using the same Arduino mega that has been installed previously for robotic arm and for the sake of power we would be installing the motor driver that can drive current for the motors.
SIXTH STEP
Our sixth step is to get a navigation system for AGV that would incorporate the use of a magnetic tape laid down on the floor and Hall Effect sensors will be installed at the base of the AGV which will help in following the tape. Some other sensors such as ultrasonic sensors and RFID sensors would also be installed that can avoid obstacles and help in locating the target locations.
SEVENTH STEP
After that our next step is to make our system fully autonomous. For this purpose after installing the robotic arm on our AGV, the system would be installed with a camera that will help in identifying the specific objects using neural network computer vision algorithm. Esp866 module will be installed at the target location and on AGV that would communicate to AGV to send specific materials at the target location.
EIGHTH STEP
Our last step is to install a rechargeable battery that may work up to 1.5 hours of continuous operation of this robotic machine.
The benefits and the advantages of this project are many and long lasting which includes:
Our project comprised of two main components which are robotic arm and a four wheeled AGV.
Our AGV deliverable consists of four wheels integrated with four dc motors controlled by Arduino Mega microcontroller integrated with motor shield that can drive the current for the motors. Our AGV body would be made up of wood material to make our project more cost effective and it can carry load up to 20Kg. The navigation path would be installed on the evaluation floor which AGV would follow using Hall Effect sensors and some other sensors will be used such as ultrasonic and RFID or laser sensors for obstacle avoiding and helps in locating the target locations. Esp8266 is installed to communicate with the AGV station. Rechargeable batteries would be used that can provide uninterrupted operation for almost 1.5 hours.
Our robotic arm that would pick and place objects would consist of three motors controlled by previously installed Arduino Mega on AGV. Robotic Arm would work on the method of inverse kinematics, calculations done on Raspberry Pi 4. 3D camera will also be connected by Pi used to provide vision to our system. To detect objects Neural Network object detection algorithm will be used for better efficiency.
After the robotic arm is installed on AGV we will try to make our machine user friendly to operate. For this purpose we have decided to install an LCD that will be showing specific instructions for manual operation of AGV working on Linux OS installed on Raspberry Pi.
| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| Robotic arm chassis with motors | Equipment | 1 | 6000 | 6000 |
| Arduino Mega | Equipment | 1 | 1300 | 1300 |
| Electromagnet | Equipment | 1 | 1670 | 1670 |
| AGV wooden body with its necessary equipment | Equipment | 1 | 3000 | 3000 |
| DC Charger | Equipment | 1 | 450 | 450 |
| Rechargable battery | Equipment | 2 | 500 | 1000 |
| Potentiometer | Equipment | 4 | 20 | 80 |
| Motors for AGV | Equipment | 4 | 500 | 2000 |
| Wheels | Equipment | 4 | 500 | 2000 |
| l293D motor driver | Equipment | 2 | 350 | 700 |
| Black magnetic tape 25 meters | Equipment | 1 | 6500 | 6500 |
| Hall effect sensor | Equipment | 3 | 100 | 300 |
| Ultrasonic sensor | Equipment | 4 | 300 | 1200 |
| Raspberry Pi 4 | Equipment | 1 | 12000 | 12000 |
| Raspberry Pi Camera Module V2 | Equipment | 1 | 4500 | 4500 |
| Esp8266 | Equipment | 2 | 750 | 1500 |
| Cables, Vero boards, transistors, relays, Screws & some basic material | Equipment | 1 | 5000 | 5000 |
| LCD | Equipment | 1 | 4500 | 4500 |
| Metal pieces to be picked up | Equipment | 6 | 500 | 3000 |
| Report and design prints | Miscellaneous | 1 | 5000 | 5000 |
| Total in (Rs) | 61700 |
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