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1 – 1 of 1Liang Wang, Jiaming Wu, Xiaopeng Li, Zhaohui Wu and Lin Zhu
This paper aims to address the longitudinal control problem for person-following robots (PFRs) for the implementation of this technology.
Abstract
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.
Details