Vol. 3 No. 1 (2023): Hong Kong Journal of AI and Medicine
Articles

Computational Intelligence for Robotics: Exploring Computational Intelligence Techniques for Enhancing the Capabilities of Robotic Systems

Mohan Raparthi
Software Engineer, Verily Life Science, Alphabet, Dallas, Texas, USA
Ramswaroop Reddy Yellu
Independent Researcher, USA
Praveen Thunki
Independent Researcher, USA
Cover

Published 22-04-2023

Keywords

  • Computational Intelligence,
  • Robotics,
  • Evolutionary Algorithms,
  • Neural Networks,
  • Fuzzy Logic,
  • Swarm Intelligence,
  • Perception,
  • Planning,
  • Control,
  • Learning
  • ...More
    Less

How to Cite

[1]
M. Raparthi, R. Reddy Yellu, and P. Thunki, “Computational Intelligence for Robotics: Exploring Computational Intelligence Techniques for Enhancing the Capabilities of Robotic Systems”, Hong Kong J. of AI and Med., vol. 3, no. 1, pp. 51–57, Apr. 2023, Accessed: Sep. 18, 2024. [Online]. Available: https://hongkongscipub.com/index.php/hkjaim/article/view/13

Abstract

Computational Intelligence (CI) plays a pivotal role in advancing the capabilities of robotic systems, enabling them to exhibit intelligent behavior and adapt to complex and dynamic environments. This paper provides a comprehensive overview of CI techniques in robotics, encompassing evolutionary algorithms, neural networks, fuzzy logic, and swarm intelligence. We delve into how these techniques are applied to various aspects of robotics, including perception, planning, control, and learning. The paper also discusses challenges and future directions in the integration of CI with robotics, highlighting the potential for further advancements in autonomous and intelligent robotic systems.

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