Autonomous Robots for Services—State of the Art, Challenges, and Research Areas

Misaros, Marius; Stan, Ovidiu; Donca, Ionut-Catalin; Miclea, Liviu

doi:10.3390/s23104962

Cited by 6 publications

(10 citation statements)

References 134 publications

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“…Additionally, the deployment of AI in autonomous systems and robotics has garnered sustainable attention, leading to advancements in areas such as self-driving cars, enabling autonomous vehicles and AI-enhanced medical drones, is acknowledged as a significant trend [25,[28][29][30].…”

Section: State-of-the-art Trendsmentioning

confidence: 99%

Artificial Intelligence and Machine Learning: A Review of State-of- the-Art Trends, Global Developments, and Practical Implications

2024

J Curr Trends Comp Sci Res

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This paper presents a comprehensive review of the latest trends, global developments, and practical implications in the field of Artificial Intelligence (AI) and Machine Learning (ML). The introduction highlights the transformative impact of AI and ML across various sectors, including healthcare, finance, transportation, manufacturing, retail, and entertainment. The purpose of the scientific research is to analyze the scientific, knowledge, and practical significance of AI and ML developments, emphasizing their potential impact on diverse domains. The study encompasses three main parts: state-ofthe- art trends, global developments, and practical implications. The scientific and practical importance of this paper lies in its examination of the growth and transformative potential of AI and ML technologies. The research methodology involves a comprehensive literature review, covering academic journals, conference proceedings, and reputable research papers and reports, to provide valuable insights and advancements in the field. The key findings of the paper revolve around significant trends in AI and ML, such as the increasing adoption of deep learning techniques and the integration of AI with big data analytics. Additionally, the study highlights global developments in AI research and investments from countries like the United States, China, Canada, Japan, South Korea, and the European Union. Practical implications include improved disease diagnosis and personalized treatment plans in healthcare, enhanced fraud detection and risk assessment in finance, and the use of AI-powered virtual assistants in customer service interactions. The research brings practical relevance to industries and policymakers, demonstrating the transformative potential of AI and ML in reshaping sectors and improving various aspects of human life. The paper concludes with recommendations for establishing robust frameworks to govern the responsible development and deployment of AI and ML systems, ensuring their long-term viability and beneficial impact on society.

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Section: State-of-the-art Trendsmentioning

confidence: 99%

Artificial Intelligence and Machine Learning: A Review of State-of- the-Art Trends, Global Developments, and Practical Implications

2024

J Curr Trends Comp Sci Res

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“…Broadening the scope of robot tasks to encompass additional items or span various wards could enhance operational efficiencies but also necessitates comprehensive research. Considering various robots' unique capabilities, limitations, and applications in clinical contexts leads to further research needs [13].…”

Section: Modelmentioning

confidence: 99%

“…The urgency to implement efficient technological solutions that relieve nurses' burden, save costs, and augment capacities becomes paramount [11,12]. Among technical solutions, robots stand out as a promising option, which can support and free up capacity in routine, repetitive, and administrative clinic processes [12][13][14][15]. Robots can take over routine transportation tasks, such as lab specimens and patient forms, which ties up medical staff and detracts from time devoted to patient care, treatment, and therapy [16].…”

Section: Introductionmentioning

confidence: 99%

Investigating Transportation Needs in Clinical Nursing – Observational Task Assessment in Rural Clinics

Sommer,

Kasbauer,

Jakob

et al. 2023

Preprint

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Transportation tasks in nursing are common and shorten the time for direct patient care in times of nursing shortage and an aging society. There is a lack of research on transportation needs, with most studies focusing on overall nursing task analysis without a deeper analysis of transportation tasks. In July and September 2023, we conducted weekly observations of nurses to assess clinical transportation needs. We aim to understand the economic impact and the methods nurses use for transportation tasks. We conducted a participant observation using a standardized app-based form over a seven-day observation period in two rural clinics. N=1,830 transports were made by nurses and examined by descriptive analysis. Non-medical supplies account for 27.05 % (n=495) of all transports, followed by medical supplies at 17.32 % (n=317), pharmacotherapy at 14.10 % (n=258) and other other categories like meals or drinks contributing 12.68 % (n=232). Most transports had a factual transport time of under a minute, with patient transport and lab samples displaying more variability. In total, 77.15 % of all transports were made by hand. Requirements to collect items or connect transports with patient care were included in 5 % of all transports. Our economic evaluation spotlighted meals as the most costly transport, with 9,596.16€ p.a. in the observed clinics. Budget-friendly robots would amortize over one year by transporting meals. We support understanding nurses’ transportation needs via further research on assistive robots to validate our findings and determine the feasibility of transport robots.

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“…Transportation tasks are widespread in nursing, reducing the time for direct patient care, and do not always need human execution. Among technical solutions, assistive robots promise to alleviate, support, and free-up capacity in repetitive clinic processes [17][18][19][20]. Robots can take over routine transportation tasks, such as lab specimens and patient forms, which ties up nursing staff and detracts from time devoted to patient care, treatment, and therapy [21,22].…”

Section: Introductionmentioning

confidence: 99%

“…Despite the importance of analyzing transportation tasks, there is a notable lack of in-depth analysis regarding nursing transportation duties as emphasized in Section 2. Furthermore, the interest in healthcare robotics is growing in the HCI community, even though many existing robots do not fully align with nurses' needs, and existing research is focused on technical feasibility [18,23].…”

Section: Introductionmentioning

confidence: 99%

Potential of Assistive Robots in Clinical Nursing: An Observational Study of Nurses’ Transportation Tasks in Rural Clinics of Bavaria, Germany

Sommer,

Kasbauer,

Jakob

et al. 2024

Nursing Reports

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Transportation tasks in nursing are common, often overlooked, and directly impact patient care time in the context of staff shortages and an aging society. Current studies lack a specific focus on transportation tasks, a gap our research aims to fill. By providing detailed data on transportation needs in nursing, our study establishes a crucial foundation for the development and integration of assistive robots in clinical settings. In July and September 2023, we conducted weekly observations of nurses to assess clinical transportation needs. We aim to understand the economic impact and the methods nurses use for transportation tasks. We conducted a participant observation using a standardized app-based form over a seven-day observation period in two rural clinics. N= 1830 transports were made by nurses and examined by descriptive analysis. Non-medical supplies account for 27.05% (n = 495) of all transports, followed by medical supplies at 17.32% (n = 317), pharmacotherapy at 14.10% (n = 258) and other other categories like meals or drinks contributing 12.68% (n = 232). Most transports had a factual transport time of under a minute, with patient transport and lab samples displaying more variability. In total, 77.15% of all transports were made by hand. Requirements to collect items or connect transports with patient care were included in 5% of all transports. Our economic evaluation highlighted meals as the most costly transport, with EUR 9596.16 p.a. in the observed clinics. Budget-friendly robots would amortize these costs over one year by transporting meals. We support understanding nurses’ transportation needs via further research on assistive robots to validate our findings and determine the feasibility of transport robots.

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Autonomous Robots for Services—State of the Art, Challenges, and Research Areas

Cited by 6 publications

References 134 publications

Artificial Intelligence and Machine Learning: A Review of State-of- the-Art Trends, Global Developments, and Practical Implications

Artificial Intelligence and Machine Learning: A Review of State-of- the-Art Trends, Global Developments, and Practical Implications

Investigating Transportation Needs in Clinical Nursing – Observational Task Assessment in Rural Clinics

Potential of Assistive Robots in Clinical Nursing: An Observational Study of Nurses’ Transportation Tasks in Rural Clinics of Bavaria, Germany

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