Vol. 2 No. 1 (2022): African Journal of Artificial Intelligence and Sustainable Development
Articles

Fault Detection and Recovery in Robotics: Examining fault detection and recovery mechanisms for ensuring the robustness and reliability of robotic systems in real-world scenarios

Dr. Krzysztof Kowalski
Associate Professor of Computer Science, Warsaw University of Technology, Poland
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Published 20-06-2022

Keywords

  • Fault detection,
  • fault recovery,
  • robotics

How to Cite

[1]
Dr. Krzysztof Kowalski, “Fault Detection and Recovery in Robotics: Examining fault detection and recovery mechanisms for ensuring the robustness and reliability of robotic systems in real-world scenarios”, African J. of Artificial Int. and Sust. Dev., vol. 2, no. 1, pp. 20–28, Jun. 2022, Accessed: Nov. 27, 2024. [Online]. Available: https://africansciencegroup.com/index.php/AJAISD/article/view/49

Abstract

Fault detection and recovery are critical aspects of ensuring the robustness and reliability of robotic systems in real-world scenarios. This paper presents a comprehensive review of fault detection and recovery mechanisms in robotics, focusing on their implementation, effectiveness, and impact on overall system performance. Various approaches, including sensor-based methods, model-based methods, and hybrid techniques, are discussed in detail, highlighting their strengths and limitations. Additionally, the paper explores the challenges and future directions in the field of fault detection and recovery in robotics, with a focus on emerging technologies and trends.

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