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PLASCENCIA, A. BERAN, V. ROZMAN, J.
Original Title
Working Progress Towards Lawn Mower Automation
Type
conference paper
Language
English
Original Abstract
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.
Keywords
Mobile Robot, Nonlinear Control, Path Planning
Authors
PLASCENCIA, A.; BERAN, V.; ROZMAN, J.
Released
7. 7. 2020
Publisher
SciTePress - Science and Technology Publications
Location
Setúbal
ISBN
978-989-758-442-8
Book
Proceedings of the 17th International Conference on Informatics in Control, Automation and Robotics
Pages from
99
Pages to
108
Pages count
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/" }
Documents
ICINCO2020.pdf