This project is solving the ExoMars Rover is My Robot challenge. Description
This robot built using Raspberry Pi uses the sensors to to sense the obstacles around the area and would accordingly avoid the obstacle and avoid collision. The video camera would be used for surveillance and would run as when an obstacle is encountered and hence stores this pictures in the memory. This could be used to space exploration .
The effectiveness of this project lies in the fact that , this is a low cost solution wherein state of the art technology is being used. The features with their details are listed below 1. The robot is used to avoid collision and then the signals collected from the sensors are processed and the overall terrain is mapped and stored in the memory. This virtual can help the robot navigate , thereby minimizing the risk of collision. The sensors activated when needed and goes to low power mode when not in use and hence increasing energy efficiency. 2. The robot could stop at one of the obstacles and if it wants further information, then it can make uses of the concept of quadracopter, which has a camera mounted onto it and would be use for surveillance , take images of the the planet surface, then sent it back to the space station. If astronauts have pre-hand information or want to study certain aspects of the planet surface , then they can do so , by collecting pictures and using the python programming to classify the type of images (done by raspberry pi and debian os ) thereby help in studying. Then the astronaut can also control the robot/quadracopter-wireless camera set-up and get the information and study the surface of the planet. By the use of scheduling techniques (OS-Kernel Programming) and processing algorithms and state of the art- Quadracopter technology , aand a low cost low-power system which makes space exploration more effective and entertaining.
License: Academic Free License 3.0 (AFL-3.0)
Source Code/Project URL: https://drive.google.com/file/d/0B9kNvB6sI5_BZm90V2tYSFFpbkU/edit?usp=sharing