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Article
Publication date: 6 April 2021

Zhicheng Tao, Shineng Sheng, Zhipei Chen and Guanjun Bao

This paper aims to propose a novel method based on a gesture primitives analysis of human daily grasping tasks for designing dexterous hands with various grasping and in-hand…

258

Abstract

Purpose

This paper aims to propose a novel method based on a gesture primitives analysis of human daily grasping tasks for designing dexterous hands with various grasping and in-hand manipulation abilities, which simplifies the complex and redundant humanoid five-finger hand system.

Design/methodology/approach

First, the authors developed the fingers and the joint configuration with a series of gesture primitives configurations and the modular virtual finger scheme, refined from the daily work gesture library by principal component analysis. Then, the authors optimized the joint degree-of-freedom configuration with the bionic design analysis of the anatomy, and the authors optimized the dexterity workspace. Furthermore, the adaptive fingertip and routing structure were designed based on the dexterous manipulation theory. Finally, the effectiveness of the design method was experimentally validated.

Findings

A novel lightweight three-finger and nine-degree-of-freedom dexterous hand with force/position perception was designed. The proposed routing structure was shown to have the capability of mapping the relationship between the joint space and actuator space. The adaptive fingertip with an embedded force sensor can effectively increase the robustness of the grasping operation. Moreover, the dexterous hand can grasp various objects in different configurations and perform in-hand manipulation dexterously.

Originality/value

The dexterous hand design developed in this study is less complex and performs better in dexterous manipulation than previous designs.

Details

Industrial Robot: the international journal of robotics research and application, vol. 48 no. 3
Type: Research Article
ISSN: 0143-991X

Keywords

Available. Open Access. Open Access
Article
Publication date: 12 November 2024

Yi liu, Ping Li, Boqing Feng, Peifen Pan, Xueying Wang and Qiliang Zhao

This paper analyzes the application of digital twin technology in the field of intelligent operation and maintenance of high-speed railway infrastructure from the perspective of…

227

Abstract

Purpose

This paper analyzes the application of digital twin technology in the field of intelligent operation and maintenance of high-speed railway infrastructure from the perspective of top-level design.

Design/methodology/approach

This paper provides a comprehensive overview of the definition, connotations, characteristics and key technologies of digital twin technology. It also conducts a thorough analysis of the current state of digital twin applications, with a particular focus on the overall requirements for intelligent operation and maintenance of high-speed railway infrastructure. Using the Jinan Yellow River Bridge on the Beijing–Shanghai high-speed railway as a case study, the paper details the construction process of the twin system from the perspectives of system architecture, theoretical definition, model construction and platform design.

Findings

Digital twin technology can play an important role in the whole life cycle management, fault prediction and condition monitoring in the field of high-speed rail operation and maintenance. Digital twin technology is of great significance to improve the intelligent level of high-speed railway operation and management.

Originality/value

This paper systematically summarizes the main components of digital twin railway. The general framework of the digital twin bridge is given, and its application in the field of intelligent operation and maintenance is prospected.

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Article
Publication date: 6 May 2021

Ping Gui, Xiaotong Ji, Yanlan Mei and Zhicheng Quan

Community governance plays an important role in the prevention and control of the Coronavirus disease 2019 (COVID-19) pandemic in China. Community workers, the main executors in…

304

Abstract

Purpose

Community governance plays an important role in the prevention and control of the Coronavirus disease 2019 (COVID-19) pandemic in China. Community workers, the main executors in community governance, experience a huge amount of stress, which affects their physical and mental health. Thus, it is crucial to pay more attention to the stressors and stress responses of community workers and propose strategies to alleviate such responses. This paper aims to analyze the work stress of community workers during the COVID-19 pandemic in China.

Design/methodology/approach

Based on a questionnaire survey of 602 community workers during COVID-19 in China, the four main stressors and 14 stress factors of community workers were identified and six factors at three levels of stress responses were defined. A stress analysis model is proposed that tests the mediating role of psychological capital and the moderating role of organizational climate.

Findings

The results show that stressors influence stress responses through the moderating role of psychological capital, organizational climate plays a negative mediator role between stressors and psychological capital and the main stressors for community workers are work, safety and performance stress.

Originality/value

This paper contributes to existing research because it offers suggestions for reducing the impact of stress on the community workers during the COVID-19 pandemic. Further, it can promote the control and prevention of the COVID-19.

Details

Kybernetes, vol. 51 no. 1
Type: Research Article
ISSN: 0368-492X

Keywords

Available. Content available

Abstract

Details

Grey Systems: Theory and Application, vol. 13 no. 3
Type: Research Article
ISSN: 2043-9377

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Article
Publication date: 8 February 2021

Bryane Michael and Simon Zhao

By modelling China’s property price changes and their effect on GDP, this study aims to develop a more general model of the costs and benefits driving price bubbles.

510

Abstract

Purpose

By modelling China’s property price changes and their effect on GDP, this study aims to develop a more general model of the costs and benefits driving price bubbles.

Design/methodology/approach

The authors develop a five-sector dynamic model (using data from China and seven other comparator jurisdictions), resulting in a bubble risk factor. The authors then correlate this risk factor with changes in property prices and resulting changes in GDP.

Findings

The authors find that economic structures (the way GDP, property prices and other variables change relative to each other) can change during/after a financial crisis. The authors also find that price disequilibria can help predict the risk of a property price fall – which thus reverberates into GDP change.

Originality/value

To the best of the authors’ knowledge, no dynamic models of price bubbles exist (though many exist of financial bubbles). The authors provide both theoretical novelties (such as providing a model of risk using non-linear differential equations) and practical ones (showing when we can expect Chinese GDP to fall).

Details

International Journal of Housing Markets and Analysis, vol. 14 no. 5
Type: Research Article
ISSN: 1753-8270

Keywords

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