A review on humanoid robotics in healthcare

Azeta, Joseph; Bolu, Christian; Abioye, Abiodun A.; Oyawale, F. A.

doi:10.1051/matecconf/201815302004

Cited by 53 publications

(24 citation statements)

References 33 publications

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“…DDPPPT: gene therapy, diagnosis, cancer treatments [503][504][505][506] Surgery [505] PDDD: drug delivery, drug coating and encapsulation [503] 10. Robotic TMR: Tele-healthcare [507] Surgery [508][509][510][511] Monitoring: care and wellness [511] DDPPPT: diagnosis and rehabilitation [508,511] MERT: training [511] 11. Simulation HFMPO: Operation process improvement and optimization, resource planning, emergency room efficiency improvement [512][513][514][515][516][517] MERT: clinical or midwifery education and training, clinical The intricacy of the disruptive and transformative powers of industry 4.0 including the process of globalization of the world economy is a prerequisite for the successful operation and disruption of logistics which is well-known today as logistics 4.0 [534,535].…”

Section: Convergence Of Disruptive Technologies In Healthcarementioning

confidence: 99%

The Hype and Disruptive Technologies of Industry 4.0 in Major Industrial Sectors: A State of the Art

Bongomin¹,

Yemane²,

Kembabazi³

et al. 2020

Preprint

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Very well into the dawn of the fourth industrial revolution (industry 4.0), we hardly distinguish between what is artificial and what is natural (e.g. man-made virus and natural virus). Thus, the level of discombobulation among people, companies or countries is indeed unprecedented. The fact that industry 4.0 is explosively disrupting or retrofitting each and every industrial sector, makes industry 4.0 the famous buzzword amongst researchers today. However, the insight of industry 4.0 disruption in the industrial sectors remains ill-defined in both academic and non-academic literature. The present study aimed at identifying industry 4.0 neologisms, understanding the industry 4.0 disruption and illustrating the disruptive technologies convergence in the major industrial sectors. A total of 99 neologisms of industry 4.0 were identified. Industry 4.0 disruption in Education industry (Education 4.0), Energy industry (Energy 4.0), Agriculture industry (Agriculture 4.0), Healthcare industry (Healthcare 4.0), and Logistics industry (Logistics 4.0) are described. The convergence of 12 disruptive technologies including 3D printing, Artificial intelligence, Augmented reality, Big Data, Blockchain, Cloud computing, Drones, Internet of things, Nanotechnology, Robotics, Simulation and Synthetic biology in agriculture, healthcare and logistics industries are illustrated.

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Section: Convergence Of Disruptive Technologies In Healthcarementioning

confidence: 99%

The Hype and Disruptive Technologies of Industry 4.0 in Major Industrial Sectors: A State of the Art

Bongomin¹,

Yemane²,

Kembabazi³

et al. 2020

Preprint

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“…Robotics is a promising area of research that can contribute to an effective response to pandemic across a variety of health care scenarios. Uses have been proposed and developed ranging from assistance during Ebola outbreaks (Yang et al, 2020) to supporting children during their stay in a hospital (Joseph et al, 2018). Robotics and other autonomous systems offer the distinct advantage of uncoupling physical interactions between people by providing the option of interaction-at-a-distance.…”

Section: Introductionmentioning

confidence: 99%

Speech Interaction to Control a Hands-Free Delivery Robot for High-Risk Health Care Scenarios

2021

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The Covid-19 pandemic has had a widespread effect across the globe. The major effect on health-care workers and the vulnerable populations they serve has been of particular concern. Near-complete lockdown has been a common strategy to reduce the spread of the pandemic in environments such as live-in care facilities. Robotics is a promising area of research that can assist in reducing the spread of covid-19, while also preventing the need for complete physical isolation. The research presented in this paper demonstrates a speech-controlled, self-sanitizing robot that enables the delivery of items from a visitor to a resident of a care facility. The system is automated to reduce the burden on facility staff, and it is controlled entirely through hands-free audio interaction in order to reduce transmission of the virus. We demonstrate an end-to-end delivery test, and an in-depth evaluation of the speech interface. We also recorded a speech dataset with two conditions: the talker wearing a face mask and the talker not wearing a face mask. We then used this dataset to evaluate the speech recognition system. This enabled us to test the effect of face masks on speech recognition interfaces in the context of autonomous systems.

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“…The development of robots for use in a range of applications has become increasingly common over the years, particularly to replace repetitive tasks or in potentially dangerous situations (Hill & Page, 2011;Lundeen et al, 2019;Shah & Pandey, 2018). However, while the field of robotics is fast growing, the more specific area of hospital service robots for infectious disease treatment remains relatively underdeveloped (Azeta et al, 2018). Healthcare service robots are expected to play a crucial role in the development of a supportive tool to aid medical professionals in the treatment of infectious diseases which would increase the quality of life of both healthcare providers and patients (Mann et al, 2015;Ramoly et al, 2018;Yi et al, 2008).…”

Section: Introductionmentioning

confidence: 99%

Modeling and Design of a Humanoid Robot by Additive Manufacturing Process

Azeta¹,

Bolu²,

Oyawale³

2020

International Journal of Engineering Research and Technology

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By the year 2030, it is estimated that 800 million workers all over the world could be replaced by robots and this is evident of a robotic revolution happening in healthcare worldwide. This study aims to model and design a humanoid robot with additive manufacturing process. Computer aided design (CAD) models of the selected concepts were developed in Fusion360 and imported into SolidWorks to optimise and improve the design. The first stage of the design focused on the development of the main body and wheelbase, while the second phase focused on the arms and manipulators. To meet the project requirement of a payload of 500 g we selected a tough and low density material with appropriate servo motor with a torque of 9.4 kg/cm at each joint. The parts of the robot were produced by additive manufacturing process with an extrusion technique called fused deposition modelling (FDM) where a continuous filament of thermoplastic material, Polylactic acid (PLA) was fed from a coil via a moving heated extruder head and gradually deposit on the work. Overall, the robot proved that the proposed design is able to achieve the design requirements while mimicking basic human movements.

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A review on humanoid robotics in healthcare

Cited by 53 publications

References 33 publications

The Hype and Disruptive Technologies of Industry 4.0 in Major Industrial Sectors: A State of the Art

The Hype and Disruptive Technologies of Industry 4.0 in Major Industrial Sectors: A State of the Art

Speech Interaction to Control a Hands-Free Delivery Robot for High-Risk Health Care Scenarios

Modeling and Design of a Humanoid Robot by Additive Manufacturing Process

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