Business problem
We will use a wall-following robot navigation dataset to build a machine learning model using the MLP algorithm. The robot is equipped with ultrasound sensors and data is collected as the robot navigates through the room in a clockwise direction. The goal here is to guide the robot to follow the wall by giving simple directions such as Move-Forward, Slight-Right-Turn, Sharp-Right-Turn, and Slight-Left-Turn.
Since there are classes to predict for a given set of sensor readings, this is going to be a multiclass problem. We will use MLP to correctly guide the robot to follow the wall. (This data is taken from https://archive.ics.uci.edu/ml/datasets/Wall-Following+Robot+Navigation+Data and is attributed to Ananda Freire, Marcus Veloso, and Guilherme Barreto (2019). UCI Machine Learning Repository [http://archive.ics.uci.edu/ml]. Irvine, CA: University of California, School of Information and Computer Science.)
