You work for a robotics company that is building a new product that allows commuters to ride electric skateboards to work. These skateboards are equipped with IoT sensors for safety measures. The sensors detect obstacles in the path of the skateboard and alert the rider with haptics and sound. The onboard software also uses the IoT sensor data to adjust the skateboard’s performance based on its surroundings. This allows the rider who follows similar paths to work on their daily commute to have their skateboard become more adept at handling the surroundings commonly encountered on this path.
Which type of machine learning model would you use to build the onboard software for these commuter skateboards?

Answer options:

A.Unsupervised Learning model
B.Supervised Learning model
C.Reinforcement Learning model
D.Semi-Supervised Learning model