Project Description :
Autonomous robots have been key tools in carrying out reconnaissance as well as search and rescue missions in environments that are hazardous to humans. However, navigation and path finding algorithms that are developed for these robots often have to deal with inaccuracies in hardware and sensor data due to wear and tear of components on these robots. To overcome this, these algorithms often have to compensate for these errors by different technologies and strategies.

Existing approaches involve first developing the improved algorithms and testing them on the actual robots. This approach requires the actual robot to generate errors in its hardware and it is difficult to test over a range of error conditions. In this project, a simulation environment will be developed to model robots that have hardware/sensor that returns error data. This environment will allow different navigation and path finding techniques and strategies with error detection and correction to be evaluated.


Pre-requisite :