Develop a theoretical framework for path planning in task 4

[quantum9Innovation]

See https://robonation.gitbook.io/roboboat-resources/section-3-autonomy-challenge/3.2-task-descriptions#id-3.2.4-task-4-race-against-pollution-speed-challenge for the actual challenge

The first step in developing a robust algorithm to complete this task should be to conduct a theoretical analysis of the problem of path planning to determine the shortest path that meets the requirements for the task. Elegant, precise solutions should be preferred over more complex algorithmic solutions.

After the theoretical framework for the algorithm design is well-established, we should apply a similar theoretical analysis to the problem of processing and formatting input data and reporting the algorithms' output (the path to follow) in the most efficient format as well as how to structure the nodes to maximize modularizability.

A full theoretical analysis of this problem and the optimal solution to task 4 will be presented in a whitepaper which can then be translated into actual code to be incorporated within this repository.