Robotics & Artificial Intelligence
Describe the steps involved in a machine learning project using the example of fruit sorting.
Answer
The steps involved in a machine learning project using the example of fruit sorting are:
- Data collection: Collect images of different fruits such as apples, bananas, and oranges.
- Data preparation: Label the images and preprocess them to make the data suitable for analysis.
- Feature extraction: Identify features such as colour, shape, and size of fruits.
- Model training: Train a machine learning model using the prepared and labelled data so that it can learn patterns.
- Model testing: Test the trained model using new fruit images to check its accuracy.
- Deployment: Use the trained model in a real-time system to automatically sort fruits based on their features.
Related Questions
Write a Python program to plot a bar chart using the Matplotlib library. Your program should:
- Import the necessary libraries.
- Create a list of categories and their corresponding values.
- Plot a bar chart with appropriate labels and a title.
Explain the key differences between traditional industrial robots and cobots. Why are cobots considered more suitable for collaborative tasks?
Create a user defined function isPrime() to accept a number and returns True if number is prime otherwise False. (A number is said to be prime if it is only divisible by itself and 1)
Define the role of sensors in robotics. Differentiate between internal and external sensors with examples.