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Detail publikace
PLASCENCIA, A. BERAN, V. ROZMAN, J.
Originální název
Working Progress Towards Lawn Mower Automation
Typ
článek ve sborníku ve WoS nebo Scopus
Jazyk
angličtina
Originální abstrakt
This paper is a working progress towards an automation of the Spider lawn mower (SLM) which is a four synchronized steering wheel mobile robot. During the functioning, the SML must follow cutting grass edge with no overlapping of a strip of cut grass and also satisfy slippage constrains. To this end, a small prototype called Andromina which is a four-independent steering wheel mobile robot has been chosen to verify the control approach. This paper proposes to implement a mathematical model that takes into account the kinematics and dynamics of the mobile robot and also a nonlinear control strategy like the state feedback linearization. The most important advantage of the proposed model-control strategy is that it takes into account the nonlinearities of the system and a control law becomes a linear one. The path following tracking error has been verified by the statistical approach called analysis t-test and also results of real data simulations have shown the effectiveness of the proposed control strategy applied to a four-independent steering nonholonomic wheeled mobile robot.
Klíčová slova
Mobile Robot, Nonlinear Control, Path Planning
Autoři
PLASCENCIA, A.; BERAN, V.; ROZMAN, J.
Vydáno
7. 7. 2020
Nakladatel
SciTePress - Science and Technology Publications
Místo
Setúbal
ISBN
978-989-758-442-8
Kniha
Proceedings of the 17th International Conference on Informatics in Control, Automation and Robotics
Strany od
99
Strany do
108
Strany počet
10
URL
https://www.fit.vut.cz/research/publication/12070/
BibTex
@inproceedings{BUT179024, author="Alfredo {Chavez Plascencia} and Vítězslav {Beran} and Jaroslav {Rozman}", title="Working Progress Towards Lawn Mower Automation", booktitle="Proceedings of the 17th International Conference on Informatics in Control, Automation and Robotics", year="2020", pages="99--108", publisher="SciTePress - Science and Technology Publications", address="Setúbal", doi="10.5220/0008924300990108", isbn="978-989-758-442-8", url="https://www.fit.vut.cz/research/publication/12070/" }
Dokumenty
ICINCO2020.pdf