Existing lawn cutting machines suffer from more than one of the following; high initial cost, high levels of engine noise, high running cost due to high fuel consumption rates, need for perimeter wires around the field to be trimmed and high operator?s fatigue in long-run due to vibration, noise and
Autonomous lawn mower
Existing lawn cutting machines suffer from more than one of the following; high initial cost, high levels of engine noise, high running cost due to high fuel consumption rates, need for perimeter wires around the field to be trimmed and high operator’s fatigue in long-run due to vibration, noise and other characteristics caused by different types of lawn. Hence the need for a system that can achieve the same cutting effect as the existing lawn mowers with little or no operator’s fatigue, removing IC engine minimized noise pollution, reduced human effort, and running cost. Design and development of prototype model for the automated lawnmower (ALM), that cut grass automatically with little human intervention using a linear blade driven by a robotic car which is powered by a battery. It can be operated in semi-autonomous and full autonomous mode by using a camera to minimized running cost, no health hazard on the operator and it does not have any effect on the environment.
The objective of this project is to design and implement a Behavior-Based Lawn Mower Robot controller that can be used to mow grass from lawns and playgrounds autonomously. The controller uses a “sense-act” approach to work in a dynamic, unstructured, and unknown environment without having any reliance on surrounding world information. The controller is implemented using Motor Schema architecture, which uses continuous response encoding and cooperative coordination method for behavior coordination. A set of concurrently running behaviors are defined to perform mowing operations. Sonar ranging is used to detect and avoid obstacles. Global Positioning System (GPS) is used for global positioning. The camera is used to detect grass field and utilized to differentiate between mown and un-mown grass.
A fully Automatic grass cutter machine is used to cut the grass at desire heights using rechargeable batteries. Two DC batteries are used along with two vehicle motors for forwarding movement of the cutter as well as for steering and a high-speed high torque DC motor for the cutter.
Phase I:
The first phase involves the configuration of sensors with Raspberry Pi.
Phase II:
It includes the development and control of mechanical structure design (chassis)
| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| 8mp camera module | Equipment | 1 | 5000 | 5000 |
| Raspberry Pi | Equipment | 1 | 11500 | 11500 |
| Sonar and IR sensors modules | Equipment | 4 | 1210 | 4840 |
| Mechanical Chassis Design | Equipment | 1 | 15000 | 15000 |
| BLDC Motor and Controller | Equipment | 2 | 2480 | 4960 |
| DC Servo Motor and Controller | Equipment | 2 | 8220 | 16440 |
| Lithium ion Battery | Equipment | 2 | 4242 | 8484 |
| Miscellaneous | Miscellaneous | 15 | 500 | 7500 |
| Total in (Rs) | 73724 |
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