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Longitudinal control for person-following robots 被引量:2
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作者 Liang Wang Jiaming Wu +2 位作者 Xiaopeng Li Zhaohui Wu Lin Zhu 《Journal of Intelligent and Connected Vehicles》 2022年第2期88-98,共11页
Purpose–This paper aims to address the longitudinal control problem for person-following robots(PFRs)for the implementation of this technology.Design/methodology/approach–Nine representative car-following models are... Purpose–This paper aims to address the longitudinal control problem for person-following robots(PFRs)for the implementation of this technology.Design/methodology/approach–Nine representative car-following models are analyzed from PFRs application and the linear model and optimal velocity model/full velocity difference model are qualified and selected in the PFR control.Findings–A lab PFR with the bar-laser-perception device is developed and tested in the field,and the results indicate that the proposed models perform well in normal person-following scenarios.Originality/value–This study fills a gap in the research on PRFs longitudinal control and provides a useful and practical reference on PFRs longitudinal control for the related research. 展开更多
关键词 Person following robot Longitudinal control model Parameter optimization
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