You have been asked to use a neural network to train the simple robot below. The robot

has $3$ sonar sensors $($x$1,$ x$2,$ and x$3)$ which return a $1$ if an obstacle is detected and $0$

otherwise. The robot is driven by output to $2$ independent wheel motors $($o$1$ and o$2).$ The

output values may be either $0$ for idle and $1$ for move. This allows the robot to move

forward, turn right, or turn left. Train the neural network shown which is needed to

control the robot using the $3$ sets of training values provided. Assume all initial weights

are $1$ and c $=0\mathrm{.}2.$ Clearly show the final weight vector after training using the $3$ sets

shown below.