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Machine Learning and Deep Learning Approaches for Robotics Applications

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Artificial Intelligence for Robotics and Autonomous Systems Applications

Part of the book series: Studies in Computational Intelligence ((SCI,volume 1093))

Abstract

Robotics plays a significant part in raising the standard of living. With a variety of useful applications in several service sectors, such as transportation, manufacturing, and healthcare. In order to make these services useable with efficacy and efficiency in having robotics obey the directions supplied to them by the program, continuous improvement is required. Intensive research has been focusing on the way to improve these services which has led to the use of sub-sections of artificial intelligence represented by ML and DL with their state-of-the-art algorithms and architecture adding positive improvements to the field of robotics. Recent studies prove various ML/DL algorithms for robotic system architectures to offer solutions for different issues related to, robotics autonomy, and decision making. This chapter provides a thorough review about autonomous and automatic robotics along with their uses. Additionally, the chapter discusses extensive machine learning techniques such as machine learning for robotics. And finally, a discussion about the issues and future of artificial intelligence applications in robotics.

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Author information

Authors and Affiliations

  1. Faculty of Telecommunications, Department of Data Communications and Network Engineering, Future University, Khartoum, Sudan

    Lina E. Alatabani

  2. Faculty of Engineering, Department of Electrical and Electronics Engineering, Red Sea University (RSU), Port Sudan, Sudan

    Elmustafa Sayed Ali

  3. Department of Electronics Engineering, Collage of Engineering, Sudan University of Science and Technology (SUST), Khartoum, Sudan

    Elmustafa Sayed Ali & Rashid A. Saeed

  4. Department of Computer Engineering, College of Computers and Information Technology, Taif University, P.O. Box 11099, Taif, 21944, Saudi Arabia

    Rashid A. Saeed & Rashid A. Saeed

Authors
  1. Lina E. Alatabani
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  2. Elmustafa Sayed Ali
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  3. Rashid A. Saeed
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Correspondence to Elmustafa Sayed Ali .

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  1. College of Computer and Information Sciences, Prince Sultan University, Riyadh, Saudi Arabia

    Ahmad Taher Azar

  2. College of Computer and Information Sciences, Prince Sultan University, Riyadh, Saudi Arabia

    Anis Koubaa

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Alatabani, L.E., Ali, E.S., Saeed, R.A. (2023). Machine Learning and Deep Learning Approaches for Robotics Applications. In: Azar, A.T., Koubaa, A. (eds) Artificial Intelligence for Robotics and Autonomous Systems Applications. Studies in Computational Intelligence, vol 1093. Springer, Cham. https://doi.org/10.1007/978-3-031-28715-2_10

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