In this era of E-commerce, Robotics and Industrial Automation, the industries are seeking some research and logistics projects which can reduce their labor cost and create a human-less environment in their warehouses. Hence, we are designing a mobile warehouse bot that has the highly automated picki
QRGV bot
In this era of E-commerce, Robotics and Industrial Automation, the industries are seeking some research and logistics projects which can reduce their labor cost and create a human-less environment in their warehouses. Hence, we are designing a mobile warehouse bot that has the highly automated picking system and is a QR-Guided Vehicle (QRGV) which could not only reduce the walk time and labor cost but improve efficiency. This proposal will demonstrate us the picking system, design optimization about task allocation and path planning of our robot
To automate the industrial warehouses.
To meet the goal of the human-less environment in the warehouses.
To reduce the business cost but also elevate the efficiency and productivity rate.
To reduce the mishandling of the items
To use this bot as well as for those restricted industrial areas where human access can be vulnerable.
systems and collision- avoidance system that could quickly detect other objects including human beings appeared around the robot, and also can quickly stop the QRGV in order to avoid a collision, which would make the whole system collapses, and minimize any risk to its employees.
One is designed to read the bar code at the bottom of the mobile rack in order to help QRGV to make information identification.
Second is designed on the bottom of the robot for the sake of helping the car to read a bar
code on the road to identifying the route of running.
The QRGV bots are designed to meet the goal of human-less environment in the warehouses. It is fully automated picker robot which will not only reduce the business cost but also elevate the efficiency and productivity rate.
QRGV autonomous mobile robot’s apparatus will come up with the following technical deliverables:
Lifting: When the QRGV reaches to the bottom of the mobile rack, it could lift the mobile rack off the ground through the screw device and send it to the picker.
Collision Sensing: The sensing system, or collision detection system contains infrared sensor systems and collision- avoidance system that could quickly detect other objects including human beings appeared around the robot, and also can quickly stop the QRGV in order to avoid a collision, which would make the whole system collapses, and minimize any risk to its employees.
Mobility: In the bottom of both sides of the trolley mounted rubber wheels, its movement is controlled by two independent DC motors.
Navigation System: QRGV robots are equipped with two cameras:
One, designed to read the bar code at the bottom of the mobile rack in order to help QRGV to make information identification.
Two, designed on the bottom of the robot for the sake of helping the car to read a barcode on the road to identifying the route of running.
Control System: Control system is responsible for guiding the robot make path selection, walking and trolley loading and unloading operations and other functions by connecting with other systems, robotic cars could operate as effectively as possible.
| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| Pi | Equipment | 1 | 8000 | 8000 |
| DC Motor | Equipment | 2 | 4500 | 9000 |
| Big Relay Module | Equipment | 4 | 1200 | 4800 |
| Rigid Hollow Section | Miscellaneous | 2 | 1500 | 3000 |
| 12 V 4 Amp Battery | Equipment | 1 | 5000 | 5000 |
| RaspberryPi Cam | Equipment | 1 | 800 | 800 |
| Small Relay Module | Equipment | 1 | 350 | 350 |
| Fabrications | Miscellaneous | 1 | 2990 | 2990 |
| Lifting Shaft | Equipment | 1 | 1500 | 1500 |
| 4 Free Wheel | Equipment | 4 | 300 | 1200 |
| Linear Motor for lifting shaf | Equipment | 1 | 2500 | 2500 |
| Arduino | Equipment | 1 | 900 | 900 |
| Total in (Rs) | 40040 |
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