A Review of Flying Robot Applications in Healthcare

Maity, Ritu; Mishra, Ruby; Pattnaik, Prasant Kumar

doi:10.1007/978-981-16-5304-9_8

Cited by 10 publications

(3 citation statements)

References 35 publications

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“…Another challenge with the AS's information processing of obtained data is the use of individual data for segregation and discriminating reasons [86], which is often regarded as violating people's privacy [87]. For example, a healthcare robot [88], [89] could decide on its own whether or not to provide a specific treatment to someone who leads an unhealthy lifestyle or to prioritize those who are in better health. Additionally, further research is being carried out to see if the AS is capable of lying and manipulating us to persuade us [90].…”

Section: Preserving Data Privacy In Autonomous Systemsmentioning

confidence: 99%

Data Privacy Threat Modelling for Autonomous Systems: A Survey From the GDPR's Perspective

Azam

Michala

Ansari

et al. 2023

IEEE Trans. Big Data

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Intelligence-based applications have been increasingly deployed in every field of life including smart homes, smart cities, healthcare services, and autonomous systems where personal data is collected across heterogeneous sources and processed using "black-box" algorithms in opaque centralised servers. As a consequence, preserving the data privacy and security of these applications is of utmost importance. In this respect, a modelling technique for identifying potential data privacy threats and specifying countermeasures to mitigate the related vulnerabilities in such AI-based systems plays a significant role in preserving and securing personal data. Various threat modelling techniques have been proposed such as STRIDE, LINDDUN, and PASTA but none of them is sufficient to model the data privacy threats in autonomous systems. Furthermore, they are not designed to model compliance with data protection legislation like the EU/UK General Data Protection Regulation (GDPR), which is fundamental to protecting data owners' privacy as well as to preventing personal data from potential privacy-related attacks. In this article, we survey the existing threat modelling techniques for data privacy threats in autonomous systems and then analyse such techniques from the viewpoint of GDPR compliance. Following the analysis, We employ STRIDE and LINDDUN in autonomous cars, a specific use-case of autonomous systems, to scrutinise the challenges and gaps of the existing techniques when modelling data privacy threats. Prospective research directions for refining data privacy threats & GDPR-compliance modelling techniques for autonomous systems are also presented.

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Section: Preserving Data Privacy In Autonomous Systemsmentioning

confidence: 99%

Data Privacy Threat Modelling for Autonomous Systems: A Survey From the GDPR's Perspective

Azam

Michala

Ansari

et al. 2023

IEEE Trans. Big Data

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“…They have been either used in the recent years or proposed for use as vehicles for the transportation of therapeutics and microbiological samples between clinical centers and remote areas, but also as telecommunication means for diagnosis and perioperative patient evaluation (Rosser Jr et al, 2018 ). Their ability to facilitate a medical intervention without a direct human-to-human contact led to the surge of interest in their use during the COVID-19 pandemic (Maity et al, 2022 ).…”

Section: Twelve Technologies Chosen For Transfermentioning

confidence: 99%

Conceptual Bases of a Quantitative Method for Assessing the Transferability of Medical Technologies Across the Rich-Poor Divide

Uskoković

2023

J Knowl Econ

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In spite of the global advancements in science and technology, the disparity in the quality of life across the globe continues to increase, particularly so in terms of the access to cutting-edge medical technologies. Opportune transfer of technologies across the rich-poor divide lessens the global economic inequalities and fosters the sustainability of the global economy, but not all technologies are equally transferrable across this gap. Here, a method for quantifying the transferability of technologies has been postulated and preliminarily tested by considering twelve state-of-the-art medical technologies and three comparatively impoverished regions of the world: West Bengal in India, Xinjiang in China, and the former Yugoslav state of Montenegro. The results of the analysis demonstrate that neither the gross economic productivity of the region of interest nor its level of poverty can be the sole determinants of the transferability of technologies. Rather, a complex network of scientific, technological, infrastructural, socioeconomic, and cultural factors defines the extent of transferability of new technologies across the rich-poor divide. The proposed model helps to discern which of these factors represent the most critical hindrances in the transfer of technologies. It is argued that the most dependable technologies to transfer are old and proven ones, but the best ones for ameliorating the rich-poor divide are juvenile technologies in formative stages of their development, which also happen to be employing simplistic ingenuity and resourcefulness in their design. The analysis performed here makes it apparent that models for assessing the social value of technologies should inextricably tie the scientific factors with the socioeconomic and humanistic. Countless technical models of various natures could be devised with this holistic principle in mind.

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“…Haider et.al [15] developed a design of a hybrid fixed-wing tricopter, and the control system and hardware parts were discussed in the paper in detail. We have also reviewed research papers on different flying robots used for medical applications [16] as well as challenges faced by flying robots in the area of energy optimization, obstacle avoidance, etc. [17,18].…”

Section: Literature Surveymentioning

confidence: 99%

Design and Analysis of Hybrid Fixed-Wing Type Flying Robot

Maity

Mishra

Pattnaik

et al. 2022

Wireless Communications and Mobile Computing

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With the advent of disruptive technologies, unmanned aerial vehicles have seen substantial growth over the past few years. The market for flying robots is increasing drastically, and they are getting used in various sectors. This paper is aimed at discussing the novel design of a hybrid fixed-wing type flying robot in which both fixed-wing and rotary-wing concepts are combined so that stable flight with vertical takeoff can be possible. Our design proposes a compact structure that can be efficiently used in indoor applications. We have also discussed its structural analysis, the model’s stability, the CFD analysis, and the vibrational analysis of the designed structure. The objective is to design an effective compact flying robot system that will be used for medical applications and need to carry a payload of a minimum of 2 kg with good aerodynamic performance. The aerodynamic model required for a hybrid fixed-wing type flying robot has been developed, and the static stability of the model has been evaluated in the paper.

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A Review of Flying Robot Applications in Healthcare

Cited by 10 publications

References 35 publications

Data Privacy Threat Modelling for Autonomous Systems: A Survey From the GDPR's Perspective

Data Privacy Threat Modelling for Autonomous Systems: A Survey From the GDPR's Perspective

Conceptual Bases of a Quantitative Method for Assessing the Transferability of Medical Technologies Across the Rich-Poor Divide

Design and Analysis of Hybrid Fixed-Wing Type Flying Robot

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