What is a robot? Mention four areas where robots can replace humans that are not mentioned in this unit.

A robot is a machine programmed to perform tasks autonomously or semi-autonomously, often using AI and automation. Robots enhance efficiency and safety in various industries. Apart from common applications, robots can replace humans in hazardous environments such as deep-sea exploration, where they conduct underwater research. They can assist in mining operations, reducing human exposure to dangerous conditions. In space exploration, robots perform tasks on other planets without risking human lives. Additionally, robots can work in disaster response, searching for survivors in collapsed buildings or hazardous areas. These applications highlight their potential to enhance safety and efficiency in challenging environments.

Related Questions:

  1. Briefly describe the positive impact of AI in our daily life.
  2. Differentiate between supervised and unsupervised machine learning.
  3. Describe how computer vision applications help in the automation of tasks.
  4. Compare the use of Natural Language Processing (NLP) with computer languages for interaction with computers.
  5. Is the use of Grammarly AI tool a perfect replacement for manual proofreading?
  6. Relate how AI can be beneficial in education and business.
  7. Identify whether the given problems are Decision Problems, Counting Problems, or Search Problems. Write your answer in front of each problem.
  8. Write down the properties of computational thinking.
  9. Contrast between website and web application.
  10. What is ‘href’ and how is it used
  11. Enlist the optional parameters to open a webpage.
  12. List the frequent tags used in the text of a webpage and their usage.
  13. Explain the role of tag-pair in a document.
  14. How is event-based code used in JavaScript?
  15. Infer about External CSS. Where is it generally used?
  16. What is Document Object Model? Explain with the help of an example.
  17. Define data analytics and data science. Are they similar or different? Give a reason.
  18. Can you relate how data science is helpful in solving business problems?
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  20. Compare machine learning and deep learning in the context of formal and informal education.