Example questions

1.   Explain how a robot can perform from basic to complex behaviours without complex computation processes.

2.   Explain a method that you can use to remove noise from an image.

3.   Explain the criteria that can be used to determine the level of autonomy of a robotic system.

4.   Explain the difference between a shallow ANN and a CNN.

5.   Explain the difference between a CNN and Fuzzy Logic

6.   Draw a CNN architecture with all its key processes for recognition of digits from 0 to 9.

7.   Draw and explain the processes involved in Fuzzy Logic.

8.   You need to design a Fuzzy Logic Controller to make a drone capable of adjusting its altitude smoothly based on the colour of the floor. This drone has a colour sensor (camera) that provides RGB components of the floor and an altitude sensor that provides the current altitude of the drone. The drone should increase and decrease its altitude according to the colour of the floor as shown in the figure below.

9.   Given the mission profile show in the figure below, what is the minimum capacity of battery required to provide sufficient energy to complete the mission . Assume that the battery nominal voltage is 14.8V.

10. The matrix shown below represent the information from an image (I). Implement the convolution of image (I) and kernel (K) to obtain the image matrix (C) . Do not place the kernel beyond the size of image I. Show the calculations to get each of the new values for the new image matrix C.