Highlights
Task Summary
In this assessment, you are to program an AI agent to solve a real-world, challenging case study. This
assessment is done individually and you are to submit programs and supporting documents. Please
refer to the Task Instructions for details on how to complete this task. This assessment is intended to
test:
• Your understanding of the theories covered in Module 1 to 12.
• Your ability to formulate and frame a simplified real-world problem for an AI problem
solving technique.
• Your ability to choose a suitable AI technique for the problem.
• Your ability to develop an AI problem solving technique in a modern programming language.
• Your ability to provide a document to discuss the potential applications and ethics of the AI
solution.
Context
You are to create a robot path planner that is able to find an optimal path to navigate an
environment and reach a target. By completing this assessment, you will show your skills on
leveraging the best AI methods to solve a simplified real-world problem.
The maze can be seen in the image below. It can be seen that there are 12 rows and 24 columns,
meaning there is a total of 288 blocks on the map. There are four different types of blocks in this
map as follows:
• Green: wall
• White: space (void)
• Red: initial position of the robot
• Blue: the target
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