1. The Braitenberg vehicle in figure 3 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. left right distance distance sensor sensor ... left right wheel Figure 3 wheel a) Implement a simple neural network by connecting the neurons (small circles) 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 IR sensors). You do not need to specify the weights of the connections; just say whether each connection is excitatory (+) or inhibitory (-). There are several ways to achieve this, just come up with ONE solution. b) Are there any inspirations for you to design an intelligent robot?