Towards the development of robot immune system: A combined approach involving innate immune cells and T-lymphocytes

Akram, Maria; Raza, Ali

doi:10.1016/j.biosystems.2018.08.003

Cited by 11 publications

(2 citation statements)

References 36 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…So far, the only work that incorporates node-level information in an immune-inspired fault detection approach is presented in [ 186 ], which was applied to a robotic system. The authors defined a set of so-called health indicators that are used as input for the DCA.…”

Section: Literature Review On Immune-inspired Approachesmentioning

confidence: 99%

A Review on Immune-Inspired Node Fault Detection in Wireless Sensor Networks with a Focus on the Danger Theory

Widhalm

Goeschka

Kästner

2023

Sensors

View full text Add to dashboard Cite

The use of fault detection and tolerance measures in wireless sensor networks is inevitable to ensure the reliability of the data sources. In this context, immune-inspired concepts offer suitable characteristics for developing lightweight fault detection systems, and previous works have shown promising results. In this article, we provide a literature review of immune-inspired fault detection approaches in sensor networks proposed in the last two decades. We discuss the unique properties of the human immune system and how the found approaches exploit them. With the information from the literature review extended with the findings of our previous works, we discuss the limitations of current approaches and consequent future research directions. We have found that immune-inspired techniques are well suited for lightweight fault detection, but there are still open questions concerning the effective and efficient use of those in sensor networks.

show abstract

Section: Literature Review On Immune-inspired Approachesmentioning

confidence: 99%

A Review on Immune-Inspired Node Fault Detection in Wireless Sensor Networks with a Focus on the Danger Theory

Widhalm

Goeschka

Kästner

2023

Sensors

View full text Add to dashboard Cite

show abstract

“…This presents a problem of navigation in an uncertain and/or unstructured environment, where the properties of adaptivity and self-organization of natural immune systems can help. Authors in Akram and Raza (2018) proposed the concept of the Robot Immune System to maintain the robot's internal health-equilibrium (analogy to homeostasis). For this, a robot uses health indicators (e.g., energy and temperature) to detect any abnormalities in its function.…”

Section: Use Of Artificial Immune Systems In the Context Of Industry 40mentioning

confidence: 99%

Computational Intelligence in the Context of Industry 4.0

Hosŏvský

Piteľ

Trojanová

et al. 2021

Implementing Industry 4.0 in SMEs

View full text Add to dashboard Cite

Industry 4.0 is affecting almost every area of the industry, and as a result of its effects, systems, technologies, and the way information is processed are being transformed. Its typical feature is transmission of information in the system environment provided by the Internet of Things. All information should be stored and shared through cloud computing. As a result, access to information should be unrestricted. This chapter is focused on Computational Intelligence (CI) in the context of Industry 4.0. Each subchapter provides fundamentals of some paradigms, followed by the use of CI in the concrete paradigm. The ending part of the chapter is focused on connecting theory and practice in a case study, which lists industrial parts recognition by convolutional neural networks for assisted assembly.

show abstract

Consequential Innovations in Nature-Inspired Intelligent Computing Techniques for Biomarkers and Potential Therapeutics Identification

Sheikh¹,

Sayeed²,

Asif³

et al. 2022

Studies in Computational Intelligence

View full text Add to dashboard Cite

Towards the development of robot immune system: A combined approach involving innate immune cells and T-lymphocytes

Cited by 11 publications

References 36 publications

A Review on Immune-Inspired Node Fault Detection in Wireless Sensor Networks with a Focus on the Danger Theory

A Review on Immune-Inspired Node Fault Detection in Wireless Sensor Networks with a Focus on the Danger Theory

Computational Intelligence in the Context of Industry 4.0

Consequential Innovations in Nature-Inspired Intelligent Computing Techniques for Biomarkers and Potential Therapeutics Identification

Contact Info

Product

Resources

About