This subject is Artificial inteligence please help me to answer this question as soon as posible, I will be glad

3. Neural Networks and Morphological computation (4 points) The Braitenberg vehicle in figure 2 implement its controllers with a simple neural network which has two layers of neurons; starting from the top sides, the first layer receives inputs from the sensors and sends its outputs to the second layer, while the neurons in the second layer drive the motors of the robot. The picture shows a schematic representation of a mobile robot. Assume that it is moving at a default (slow) speed. In order to implement the obstacle avoidance behavior (i.e., while moving in the environment, the robot avoids the obstacle that it senses by means of the distance sensors), you are asked to implement a simple neural network by connecting the neurons (small circles). You do not need to specify the weights of the connections; just express whether each connection is excitatory (+) or inhibitory (-). There are several ways to achieve this, just come up with ONE solution, and to express the each connection and its attribute in figure 2, give some necessary explanation. left distance sensor right distance sensor direction of movement left right wheel wheel Figure 2 The Braitenberg vehicle controlled through neural network