Academic Review and Perspectives on Robotic Exoskeletons

Bao, Guanjun; Pan, Lufeng; Fang, Hui; Wang, Xinyu; Huang, Yu; Cai, Shibo; Yu, Bingqing; Wan, Yuehua

doi:10.1109/tnsre.2019.2944655

Cited by 92 publications

(55 citation statements)

References 91 publications

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“…Publications on the topic of occupational exoskeletons were relatively sporadic for over a decade, but have grown exponentially in recent years (Fig. 1); a similar trend was reported for the more general topic of "robotic exoskeletons" (Bao et al, 2019). While much has been learned and shared in existing literature on occupational exoskeletons, each of the 16 papers in this issue makes a new and important contribution toward understanding how best to facilitate the safe and effective adoption and use of this new technology.…”

Section: Introductionsupporting

confidence: 59%

An Introduction to the Special Issue on Occupational Exoskeletons

Nussbaum

Lowe

Looze

et al. 2019

IISE Transactions on Occupational Ergonomics and Human Factors

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Section: Introductionsupporting

confidence: 59%

An Introduction to the Special Issue on Occupational Exoskeletons

Nussbaum

Lowe

Looze

et al. 2019

IISE Transactions on Occupational Ergonomics and Human Factors

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“…Various research fields make use of bibliometrics to measure the impact or influence of certain research articles. For example, in the field of engineering, the authors Bao et al [10] used bibliometric analysis to evaluate the publications in the field of robotic exoskeletons and the authors He et al [11] used bibliometrics to analyse articles related to "metastatic castration-resistant prostate cancer" in the field of health and medicine. Muhuri et al [12] projected the growth structure of the ongoing industrial revolution "Industry 4.0" using bibliometric analysis in the field of intelligent engineering [12].…”

Section: Introductionmentioning

confidence: 99%

Global Trends of Green Pesticide Research from 1994 to 2019: A Bibliometric Analysis

Smith

Idris

Maboeta

2021

Journal of Toxicology

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The fast-growing world population places food production under enormous pressure to ensure food security. One of the most common methods to increase food production is the use of pesticides, but the continuous use thereof has numerous detrimental effects on the environment. The interest in biopesticides for a possible substitute has grown over the past two decades. To determine the research evolution of biopesticides (green pesticides), a bibliometric analysis from 1994 to 2019 was carried out. A total of 580 documents were found eligible in the Scopus database for this analysis. Parameters such as the number of articles, article citations, keywords, source impact, and countries of publication were used to analyse the documents and rank countries based on authors, productivity, article citations, and co-authorship. The analysis reveals production increased significantly from 2009 and has the most published documents in 2019 with a total of 74 articles. Asia’s most populous countries, India and China, were ranked first and second, respectively, and the USA third in terms of the most productive countries in the field of plant biopesticides. Countries in Europe and Africa however have fewer publications than expected in this field, given the fact that they are high consumers of pesticides. India, China, and the USA have 4.08%, 2.94%, and 12.5% multiple country publications (MCPs), respectively, with the USA having a stronger collaboration. Finally, there is a clear indication in this study that India and China are taking the lead in substituting synthetic pesticides with the alternative natural plant biopesticide.

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“…Exoskeletons are recently being developed to solve issues of worker injuries and prevent musculoskeletal disorders [ 1 , 2 ]. In particular, there has been a lot of development of spinal exoskeletons to help alleviate the problems of low-back pain, and shoulder exoskeletons to assist users in overhead working scenarios [ 3 , 4 , 5 ].…”

Section: Introductionmentioning

confidence: 99%

Gaussian Mixture Models for Control of Quasi-Passive Spinal Exoskeletons

Jamšek

Petrič

Babič

2020

Sensors

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Research and development of active and passive exoskeletons for preventing work related injuries has steadily increased in the last decade. Recently, new types of quasi-passive designs have been emerging. These exoskeletons use passive viscoelastic elements, such as springs and dampers, to provide support to the user, while using small actuators only to change the level of support or to disengage the passive elements. Control of such devices is still largely unexplored, especially the algorithms that predict the movement of the user, to take maximum advantage of the passive viscoelastic elements. To address this issue, we developed a new control scheme consisting of Gaussian mixture models (GMM) in combination with a state machine controller to identify and classify the movement of the user as early as possible and thus provide a timely control output for the quasi-passive spinal exoskeleton. In a leave-one-out cross-validation procedure, the overall accuracy for providing support to the user was 86 . 72 ± 0 . 86 % (mean ± s.d.) with a sensitivity and specificity of 97 . 46 ± 2 . 09 % and 83 . 15 ± 0 . 85 % respectively. The results of this study indicate that our approach is a promising tool for the control of quasi-passive spinal exoskeletons.

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Academic Review and Perspectives on Robotic Exoskeletons

Cited by 92 publications

References 91 publications

An Introduction to the Special Issue on Occupational Exoskeletons

An Introduction to the Special Issue on Occupational Exoskeletons

Global Trends of Green Pesticide Research from 1994 to 2019: A Bibliometric Analysis

Gaussian Mixture Models for Control of Quasi-Passive Spinal Exoskeletons

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