AI Powered Unmanned Aerial Vehicle for Payload Transport Application

Alshanbari, Reem; Khan, Sherjeel M.; El‐Atab, Nazek; Hussain, Muhammad Mustafa

doi:10.1109/naecon46414.2019.9058320

Cited by 9 publications

(2 citation statements)

References 5 publications

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“…Face recognition [35]; Symptoms identification [36]; Flight path optimization [37] To assist law enforcement and warning people during pandemic lockdown; the UAVs need to identify distinguish people who are breaking the rules (e.g. gathering, not wearing masks), as well as sick Delivery UAVs Flight path optimization [37] Payload delivery optimization [38] To facilitate unmanned supply delivery via the most optimized route, and ensure the payload is dropped in a safe manner AI functions and their references that would have been applied in AI robotics during the COVID-19 crisis. The robotics applications do share common AI functions them.…”

Section: Ai Beneath the Surface Of Robotsmentioning

confidence: 99%

AI-Enabled Technologies that Fight the Coronavirus Outbreak

Fong

Dey²,

Chaki

2020

Artificial Intelligence for Coronavirus Outbreak

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AI-Enabled Technologies that Fight the Coronavirus OutbreakDevelopment of innovative designs, new applications, new technologies and heavier investment in AI are continued to be seen every day. However, with the sudden impact of COVID19, so severe and urgent around the world, adoption of AI is propelled to an unprecedent level, because it helps to fight the virus pandemic by enabling one or more of the following possibilities: (1) autonomous everything, (2) pervasive knowledge, (3) assistive technology and ( 4) rational decision support. The deployment of AI into these aspects may be bold and experimental, but it is in full force, all scales, unanimous and swift in timing which may otherwise take years. The four aspects which are enabled by AI changed our lifestyle, so did the coronavirus. It is almost like a revolution in speeding up the technologies and their adoption in a short time. The following showcases a series of examples of technologies which are infused with AI for provision of one or more of the four benefits, with the aim of fighting the coronavirus and of course saving lives. In particular, the examples show how AI as a technological enabler enhances the existing process for fulfilling one or more of the four benefits. Infection Risk IdentificationAs the first line of defence against COVID-19 pandemic, in-home risk assessment is a protocol by which anybody can check for himself or somebody else at home whether he/she has contracted the coronavirus through some basic tests. The assessment involves a dialogue of questions to which the subject has to answer using a questionnaire based on how he feels and where he has visited. The responses of the questionnaire are taken to some medical experts for analysis, deciding the infection risk level of that person. Using ICT and AI, however, this assessment can be fully digitized.

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Section: Ai Beneath the Surface Of Robotsmentioning

confidence: 99%

AI-Enabled Technologies that Fight the Coronavirus Outbreak

Fong

Dey²,

Chaki

2020

Artificial Intelligence for Coronavirus Outbreak

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“…However, due to the advancement of free-form CMOS technology, fully flexible and stretchable devices came into existence. Flexible and stretchable electronics play a vital role in the advancement of soft robotics, wearable/healthcare and implantable devices considering the internet of things (IoT), internet of everything (IoE) and embedded electronics applications [7][8][9][10][11][12][13][14].…”

Section: Introductionmentioning

confidence: 99%

Polymer/paper-based double touch mode capacitive pressure sensing element for wireless control of robotic arm

Mishra¹,

Babatain

El‐Atab

et al. 2020

2020 IEEE 15th International Conference on Nano/Micro Engineered and Molecular System (NEMS)

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In this work, a large area, low cost and flexible polymer/paper-based double touch mode capacitive pressure sensor is demonstrated. Garage fabrication processes are used which only require cutting, taping and assembly of aluminum (Al) coated polyimide (PI) foil, PI tape and double-sided scotch tape. The presented pressure sensor operates in different pressure regions i.e. normal (0 to 7.5 kPa), transition (7.5 to 14.24 kPa), linear (14.24 to 54.9 kPa) and saturation (above 54.9 kPa). The advantages of the demonstrated double touch mode capacitive pressure sensors are low temperature drift, long linear range, high pressure sensitivity, precise pressure measurement and large die area. The linear output along with a high sensitivity range (14.24 to 54.9 kPa pressure range) of the sensor are utilized to wirelessly control the movement of a robotic arm with precise rotation and tilt movement capabilities.

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