Week 15 Quiz

Advanced miniAuto Features

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Quiz Questions

1. What is the primary advantage of computer vision over simple proximity sensors?

A) Lower power consumption B) Ability to understand and interpret visual information C) Faster processing speed D) Lower cost

2. In adaptive behavior learning, what happens when a direction has a high success rate?

A) It is avoided in future decisions B) It is more likely to be chosen in similar situations C) It is reset to zero D) It has no effect on future decisions

3. What is sensor fusion in robotics?

A) Using only one sensor at a time B) Combining data from multiple sensors for better decision-making C) Replacing old sensors with new ones D) Turning off sensors to save power

4. In predictive navigation, what does a negative distance trend indicate?

A) The robot is moving away from obstacles B) An obstacle is approaching or getting closer C) The sensors are malfunctioning D) The robot should speed up

5. What is the purpose of confidence weighting in sensor fusion?

A) To make all sensors equally important B) To prioritize more reliable sensor data in decision-making C) To slow down the robot D) To increase power consumption

6. In pattern recognition, what does confidence level represent?

A) How fast the robot should move B) How certain the system is about a learned action C) The battery level D) The number of sensors active

7. What happens in the COLLECTING_DATA state of an intelligent mission?

A) The robot searches for new targets B) The robot gathers information at the current target location C) The robot returns to home base D) The robot shuts down

8. Which OpenCV function is commonly used for edge detection in computer vision?

A) Canny B) Blur C) Resize D) Rotate

9. Describe how machine learning could improve a robot's navigation over time. Give a specific example of what the robot might learn and how it would apply that knowledge.

10. Design an intelligent mission for a miniAuto robot that combines computer vision, sensor fusion, and adaptive learning. Describe the mission objective, required sensors, and how the robot would improve its performance over multiple attempts.

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