Application of AI Driven Robots and Their Future Direction

Authors

  • Regala Supriya Programmer, Department of Computer Science and Engineering, Pragati Engineering College (A), Surampalem, Andhra Pradesh, India
  • Manas Kumar Yogi Assistant Professor, Department of Computer Science and Engineering, Pragati Engineering College (A), Surampalem, Andhra Pradesh, India

Keywords:

Artificial Intelligence (AI), Robots, cybersecurity, Healthcare, Automation, AI-driven robots, human intelligence

Abstract

AI-driven robots have found applications in various domains, including manufacturing, healthcare, logistics, agriculture, and more. Robots with computer vision and machine learning skills are improving accuracy, productivity, and quality control in manufacturing. In healthcare, robotic surgery and patient care assistance are becoming increasingly common. Logistics and warehousing benefit from AI-driven robots for tasks such as autonomous navigation and inventory management. Within the field of agriculture, robots find application in activities such as seeding, gathering crops, and overseeing crop conditions. These applications illustrate the versatility of AI-driven robots across industries.

References

Russell SJ, Norvig P. Artificial intelligence a modern approach. Pearson; London; 2010.

Yadav SP, Mahato DP, Linh NT, editors. Distributed artificial intelligence: A modern approach. Florida, United States. CRC Press; 2020 Dec 17.

Arbib M. Review of' Perceptrons: An Introduction to Computational Geometry' (Minsky, M., and Papert, S.; 1969). IEEE Trans Inf Theory. 1969 Nov; 15(6): 738–9.

Hopfield JJ. Neural networks and physical systems with emergent collective computational abilities. Proc Natl Acad Sci U S A. 1982 Apr;79(8): 2554–8.

Rumelhart D, Hinton GE, Williams RJ. Learning internal representations by error propagation. In: Parallel distributed processing: exploration in the micro-structure of cognition. MIT Press; Massachusetts, United States. 1986.

Michalak T, Rahwan T, Elkind E, Wooldridge M, Jennings NR. A hybrid exact algorithm for complete set partitioning. Artif Intell. 2016 Jan 1; 230: 14–50.

Zadeh LA. Fuzzy logic—a personal perspective. Fuzzy Sets Syst. 2015 Dec 15; 281: 4–20.

Andreu-Perez J, Deligianni F, Ravi D, Yang GZ. Artificial intelligence and robotics. arXiv preprint arXiv:1803.10813. 2018 Mar 28.

Horvitz E. (2014 Jan). One hundred year study on artificial intelligence: reflections and framing. [Online]. Microsoft. com.

Lohr S. (2012 Feb 11). The age of big data. [Online]. New York Times.

Alston P. Lethal robotic technologies: the implications for human rights and international humanitarian law. J Law Inf Sci. 2011; 21(2): 35–60.

Russell A, Tang Q, Yung M, Zhou HS. Cliptography: Clipping the power of kleptographic attacks. In Advances in Cryptology–ASIACRYPT 2016: 22nd International Conference on the Theory and Application of Cryptology and Information Security, Hanoi, Vietnam, December 4-8, 2016, Proceedings, Part II 22. Berlin Heidelberg: Springer; 2016; 34–64.

Kirat D, Vigna G, Kruegel C. {BareCloud}: Bare-metal Analysis-based Evasive Malware Detection. In 23rd USENIX Security Symposium (USENIX Security 14). 2014; 287–301.

Bryant C, Waters R. (2015 Jul 2). Worker at Volkswagen Plant Killed in Robot Accident. [Online]. The Financial Times. Retrieved from http://www. ft. com.

Andreu-Perez J, Leff DR, Shetty K, Darzi A, Yang GZ. Disparity in frontal lobe connectivity on a complex bimanual motor task aids in classification of operator skill level. Brain Connect. 2016 Jun 1; 6(5): 375–88.

Published

2023-12-06