Capturing the opportunity in developing intelligent elderly care robots in China challenges, opportunities and development strategy

Zhang, Sifeng; Tang, Min; Zhang, Zehao; Zhao, Yu

doi:10.1109/arso.2016.7736257

Cited by 5 publications

(2 citation statements)

References 11 publications

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“…Of relevance are the perceptions of patients/elderly as well as nurses/caregivers. The role of geographical and cultural differences may not be underestimated, as for example the case of China that is discussed in ( 37 ). On behalf of the patients/elderly there exists a natural concern that robot deployments at home may replace personal contact and assistance, leading to a loss of companionship and increased isolation.…”

Section: The Challenges Aheadmentioning

confidence: 99%

The Upcoming Role for Nursing and Assistive Robotics: Opportunities and Challenges Ahead

Christoforou

Avgousti

Ramdani

et al. 2020

Front. Digit. Health

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As an integral part of patient care, nursing is required to constantly adapt to changes in the healthcare system, as well as the wider financial and societal environment. Among the key factors driving these changes is the aging of population. Combined with an existing shortage of nursing and caregiving professionals, accommodating for the patients and elderly needs within hospitals, elderly-care facilities and at a home setting, becomes a societal challenge. Amongst the technological solutions that have evolved in response to these developments, nursing and assistive robotics claim a pivotal role. The objective of the present study is to provide an overview of today's landscape in nursing and assistive robotics, highlighting the benefits associated with adopting such solutions in standard clinical practice. At the same time, to identify existing challenges and limitations that essentially outline the area's future directions. Beyond technological innovation, the manuscript also investigates the end-users' angle, being a crucial parameter in the success of robotics solutions operating within a healthcare environment. In this direction, the results of a survey designed to capture the nursing professionals' perspective toward more informed robotics design and development are presented.

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Section: The Challenges Aheadmentioning

confidence: 99%

The Upcoming Role for Nursing and Assistive Robotics: Opportunities and Challenges Ahead

Christoforou

Avgousti

Ramdani

et al. 2020

Front. Digit. Health

View full text Add to dashboard Cite

show abstract

“…In the next five years, the global industrial robot market is expected to maintain a compound annual growth rate of 7.7%. From 2007 to the present, the country has successively invested many funds for the R&D and industrialization of advanced industrial robots and related basic components, and Chinese industrial robots are facing another opportunity for rapid development [7]- [8]. Currently, Chinese industrial robots are mainly application-oriented, and there is a large gap with foreign manufacturers in independent R&D and design.…”

Section: Introductionmentioning

confidence: 99%

Research on the design of mechanical robot control system for industrial PC in the context of big data

Chen

2023

Applied Mathematics and Nonlinear Sciences

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In the digitalization of big data information, how to use big data technology to design and study the mechanical robot control system of industrial PC has become a key topic of concern in today’s society. In this paper, robot kinematic modeling is mainly used to analyze and study the robot motion equations and control system operation mechanism, and the motion controller of the industrial robot control system is selected from the CLIPPERPMAC controller of the PMAC motion controller series. The approach to reducing the operation error of the industrial robot system from the control perspective is discussed. The error is reduced by adjusting the PID parameters of the PMAC motion controller in automatic and manual ways, and the error is further reduced by introducing fuzzy control algorithms. By comparing the original curve, the curve after the PID adjustment of PMAC itself and the curve after the introduction of the fuzzy controller, the curve error is kept below 5%, which is determined to be an effective method to reduce the error. This study can precisely realize the design and research of mechanical robot control systems, thus providing a guiding reference value for the research of industrial robot mechanization.

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Active Aging AI Community Care Ecosystem Design

Tseng

Huang

Hsieh

2020

Human Aspects of IT for the Aged Population. Healthy and Active Aging

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Capturing the opportunity in developing intelligent elderly care robots in China challenges, opportunities and development strategy

Cited by 5 publications

References 11 publications

The Upcoming Role for Nursing and Assistive Robotics: Opportunities and Challenges Ahead

The Upcoming Role for Nursing and Assistive Robotics: Opportunities and Challenges Ahead

Research on the design of mechanical robot control system for industrial PC in the context of big data

Active Aging AI Community Care Ecosystem Design

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