Telepresence Robot utilizes advanced engineering methods to make the surveillance by humans possible in not so easily accessible environments. A blend of virtual reality technology and robotics is used to make the interaction of a person with a hazardous environment far away
Virtual Telepresence Robot
Telepresence Robot utilizes advanced engineering methods to make the surveillance by humans possible in not so easily accessible environments. A blend of virtual reality technology and robotics is used to make the interaction of a person with a hazardous environment far away from him, where he cannot go, possible by virtually controlling and sensing environment realistically as if he is physically present there. A person can remotely measure the temperature and humidity, listen to the voices if any, and visualize every single movement in the environment. By clearly monitoring the targeted place, we can make our plan to cope with the problem and move towards solution(s).
The project implementation method to be used will be the critical path method. A list of all the processes will be devised and their times of completion will be estimated. The critical processes of the project will get the utmost priority so that no delays in the final deadline occur and to ensure seamless completion of the project. Smooth completion of non-critical processes will also be ensured despite of them getting a lesser priority. The group members will undertake tasks assigned to them individually or collectively, whichever is more feasible for each task. The group will maintain and constantly update an FYP logbook to keep a record of all the progress and tasks being undertaken.
A 1080p 8MP camera with a 3-axis gimbal for movement of camera interfaced with a Raspberry Pi. The Raspberry Pi will be running linux based Raspberry Pi OS with Robot Operating System(ROS) installed. The Raspberry Pi will take live video feed from the camera transmit it over the wifi to the Oculus GO VR Headset. It will also be used to receive axial movement data from the VR headset, process it and send movement control inputs to the camera gimbal. PID algorithms will be used to stablilize the movement of camera so that no sudden/shaky movements occur.
A set of AM2302 sensors mounted on different places on the robot will be used to provide real-time temperature and humidity parameters to the Raspberry Pi that will take its average as well as ignore any faulty reading in its calculation and incorporate it in the live video feed by making a screen overlay.
An onboard microphone will send a live audio feed to the Raspberry Pi that will process it and transmit the processed signals to the speakers incorporated with the VR headset.
LiPo batteries will be used to power up the robot. These batteries will be charged using a Battery Management System. Furthermore, an array of circuits on the main control board will ensure that the power supplied to the individual components of robot (Raspberry Pi, camera, sensors etc.) is free from any inductive noise that may arise due to the switching of motors.
The main structure of robot will be fabricated using sheet metal while various other parts (sensor mounts etc.) will be manufactured using 3D printing technology with ABS being the main material due to its high strength characteristics.
An RF transceiver will be used to control the movements of robot. The remote controller will be used to send movement commands to Raspberry Pi that will then issue movement control commands to the H-bridge circuits for the motors.
Mecanum Omni-Wheels will be used for the robot to enable movement in any direction.
| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| Oculus Go VR Headset | Equipment | 1 | 26500 | 26500 |
| Raspberry Pi | Equipment | 1 | 8500 | 8500 |
| 42GP-775 24V DC Motor | Equipment | 4 | 4000 | 16000 |
| Main Logic PCB | Equipment | 1 | 1000 | 1000 |
| 24-V H-Bridge PCB | Equipment | 1 | 1000 | 1000 |
| 1080p 8MP Camera with 3-Axis Gimbal | Equipment | 1 | 13000 | 13000 |
| Technical Documentation | Miscellaneous | 1 | 3000 | 3000 |
| Logistics and Shipping | Miscellaneous | 1 | 7000 | 7000 |
| AM2302 Sensors | Equipment | 4 | 800 | 3200 |
| Micrphone | Equipment | 1 | 800 | 800 |
| Total in (Rs) | 80000 |
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