首页|Findings in Robotics Reported from Shanghai Jiao Tong University (Design, Modeling, and Evaluation of Parallel Continuum Robots: a Survey)

Findings in Robotics Reported from Shanghai Jiao Tong University (Design, Modeling, and Evaluation of Parallel Continuum Robots: a Survey)

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Investigators discuss new findings in Robotics. According to news reporting from Shanghai, People's Republic of China, by NewsRx journalists, research stated, “Parallel continuum robots (PCRs) have attracted increasing attention in the robotics community due to their simplicity in structure, inherence with compliance, and easiness of realization. Over the past decade, a variety of novel designs have been reported to enrich their diversity.” Funders for this research include National Key R&D Program of China, National Natural Science Foundation of China (NSFC), Innovation Foundation of the Manufacturing Engineering Technology Research Center of Commercial Aircraft Corporation of China. The news correspondents obtained a quote from the research from Shanghai Jiao Tong University, “However, there is a lack of systematic review of these emerging robots. To this end, this paper conducts a comprehensive survey on the mechanism design, kinetostatic modeling and analysis, and performance evaluation. For these robots, kinetostatic modeling plays a fundamental role throughout the design, analysis, and control stages. A systematic review of the existing approaches for kinetostatic modeling and analysis is provided, and a comparison is made to distinguish their differences. As well, a classification is made according to the characteristics of structure and actuation. In addition, performance evaluation on the workspace, stability, and singularity is also overviewed. Finally, the scenarios of potential applications are elaborated, and future research prospects are discussed.”

ShanghaiPeople’s Republic of ChinaAsiaEmerging TechnologiesMachine LearningNano-robotRoboticsShanghai Jiao Tong University

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Feb.5)
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