| Autor: |
Liang Wang, Jiaming Wu, Xiaopeng Li, Zhaohui Wu, Lin Zhu |
| Jazyk: |
angličtina |
| Rok vydání: |
2022 |
| Předmět: |
|
| Zdroj: |
Journal of Intelligent and Connected Vehicles, Vol 5, Iss 2, Pp 88-98 (2022) |
| Druh dokumentu: |
article |
| ISSN: |
2399-9802 |
| DOI: |
10.1108/JICV-01-2022-0003/full/pdf?title=longitudinal-control-for-person-following-robots |
| Popis: |
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. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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