A Survey on the Evolution of AI (Artificial Intelligence) and Robotics

Year : 2024 | Volume : 11 | Issue : 03 | Page : 10 17
    By

    Vaibhav Sharma,

  • Arvind Tiwari,

  1. Associate Professor, Department of Computer Science, Dr. CV Raman University Chhattisgarh, Kota, Chhattisgarh, India
  2. Associate Professor, Department of Computer Science, Dr. CV Raman University Chhattisgarh, Kota, Chhattisgarh, India

Abstract

This is the age of new technology and gadgets to improve the livelihood of human beings in aspects of every manner while arranging the host of facilities for every task related to our daily lifestyle. To improve the machine and their working manner smartly only programming is not enough it takes a lot more than just programming and here the implementation of AI tools takes place to improve the quality, efficiency, accuracy, and reliability with ease of utility characteristics. Robotics engineering is the greatest example of the utility of artificial intelligence and nowadays this works everywhere and in every field which is related to the real-world scenario. The era of AI and Robotics has now been a decade, and both have an overnight success journey, the integration of these two changes the multitude of the industry. AI and Robotics take adaptive and more intelligent techniques for each and every field to develop more accurate and fast processing applications for various fields. The first AI program was presented by Dartmouth Summer Research Project on Artificial Intelligence (DSRPAI) in the 1960s; till from there AI has come with a lot more expectations, inventions, and developments, and now it lives with the age of big data, which can collect huge information for any person or organization to process and AI in this regard has already been quite more powerful tools to influence many sectors like banking, marketing, investments, medical science and not the last entertainment. While working with AI in these sectors, Robotics gets involved to deal with the complex issues and problems for the betterment of these industries, and it is just not enough fields the integration of AI and Robotics is a breakthrough in the fields of computer science, mathematics, or neuroscience. AI and Robotics are not the next big things of the future it is involved so deeply in the present scenarios of our life. Here in this article the overall evolution of AI and Robotics till now and its future has been defined with a step-by-step evolutionary period of both powerful tools along with the use of their integration and implementation in various fields in today’s world.

Keywords: Artificial intelligence, robotics, AI tools, business and AI, history of AI

[This article belongs to Journal of Advancements in Robotics ]

How to cite this article:
Vaibhav Sharma, Arvind Tiwari. A Survey on the Evolution of AI (Artificial Intelligence) and Robotics. Journal of Advancements in Robotics. 2024; 11(03):10-17.
How to cite this URL:
Vaibhav Sharma, Arvind Tiwari. A Survey on the Evolution of AI (Artificial Intelligence) and Robotics. Journal of Advancements in Robotics. 2024; 11(03):10-17. Available from: https://journals.stmjournals.com/joarb/article=2024/view=180747


References

  1. Amigoni F, Schiaffonati V. Ethics for robots as experimental technologies: Pairing anticipation with exploration to evaluate the social impact of robotics. IEEE Robotics and Automation Magazine. 2018;25:30–6. DOI: 10.1109/MRA.2017.2781543.
  2. Agrahari A, Rao DT. A review paper on big data: Technologies, tools, and trends. Int Res J Eng Technol. 2017;4:640–9.
  3. Reba RC. Introduction to robotics in medicine. In: Brady M, Gerhardt LA, Davidson HF, editors. Robotics and artificial intelligence. NATO ASI series. Vol. 11. Berlin, Heidelberg: Springer; 1984. p. 591–2. DOI: 10.1007/978-3-642-82153-0_30.
  4. Chen Y, De Luca GD. Technologies supporting artificial intelligence and robotics application development. J Artif Intell Technol. 2021;1:1–8. DOI: 10.37965/jait.2020.0065.
  5. Desarkar A, Das A. Big-data analytics, machine learning algorithms, and scalable/parallel/distributed algorithms. In: Bhatt C, Dey N, Ashour AS, editors. Internet of Things and Big Data Technologies for Next Generation Healthcare. Springer International Publishing; 2017. p. 159–97. DOI: 10.1007/978-3-319-49736-5_8.
  6. Denecke K, Baudoin CR. A review of artificial intelligence and robotics in transformed health ecosystems. Front Med. 2022;9:795957. DOI: 10.3389/fmed.2022.795957. PubMed: 35872767.
  7. Dwivedi YK, Sharma A, Rana NP, Giannakis M, Goel P, Dutot V. Evolution of artificial intelligence research in technological forecasting and social change: Research topics, trends, and future directions. Technol Forecast Soc Change. 2023;192:122579. DOI: 10.1016/j.techfore.2023.122579.
  8. Garcia E, Jimenez MA, De Santos PG, Armada M. The evolution of robotics research. IEEE Robot Autom Mag. 2007;14:90–103. DOI: 10.1109/MRA.2007.339608.
  9. Mowforth P, Bratko I. AI and robotics; flexibility and integration. Robotica. 1987;5:93–8. DOI: 10.1017/S0263574700015058.
  10. Rosenschein SJ. Formal theories of knowledge in AI and robotics. New Gen Comput. 1985;3:345–57. DOI: 10.1007/BF03037076.
  11. Van Roy V, Vertesy D, Damioli G. AI and robotics innovation. In: Zimmermann K, editor. Handbook of Labor, Human Resources and Population Economics. Cham: Springer; 2020. p. 1–35. DOI: 10.1007/978-3-319-57365-6_12-1.
  12. White J. The role of robotics and AI in technologically mediated human evolution: A constructive proposal. AI Soc. 2020;35:177–85. DOI: 10.1007/s00146-019-00877-z.
Regular Issue Subscription Review Article
Volume 11
Issue 03
Received 23/09/2024
Accepted 14/10/2024
Published 04/11/2024
280

Login


My IP

PlumX Metrics