Titre:	Visual-aided obstacle climbing by modular snake robot
Auteur(s):	Koike, Carla Maria Chagas e Cavalcante Viana, Dianne Magalhães Yudi, Jones Batista, Filipe Aziz Costa, Arthur Reichert Carvalho, Vinícius Rocha, Thiago de Deus Lima
metadata.dc.identifier.orcid:	https://orcid.org/0000-0002-3641-1819 https://orcid.org/0000-0001-8396-8022 https://orcid.org/0000-0001-6707-853X https://orcid.org/0000-0001-9553-3114 https://orcid.org/0009-0009-3919-693X https://orcid.org/0009-0008-6533-5975
metadata.dc.contributor.affiliation:	University of Brasília, Department of Computer Science University of Brasília, Department of Mechanical Engineering University of Brasília, Department of Mechanical Engineering University of Brasília, Mechatronics Graduate Programme University of Brasília, Mechatronics Graduate Programme University of Brasília, Department of Mechanical Engineering University of Brasília, Department of Mechanical Engineering
Assunto::	Robôs-serpente Robôs escaladores Robôs móveis Locomoção guiada por imagem
Date de publication:	jui-2024
Editeur:	MDPI
Référence bibliographique:	KOIKE, Carla Cavalcante et. al. Visual-aided obstacle climbing by modular snake robot. Sensors, [S. l.], v. 24 , 2024. DOI: https://doi.org/10.3390/s24134424. Disponível em: https://www.mdpi.com/1424-8220/24/13/4424. Acesso em: 04 mar. 2026.
Abstract:	Snake robots, also known as apodal robots, are among the most common and versatile modular robots. Primarily due to their ability to move in different patterns, they can evolve in scenarios with several constraints, some of them hardly accessible to other robot configurations. This paper deals with a specific environment constraint where the robot needs to climb a prismatic obstacle, similar to a step. The objective is to carry out simulations of this function, before implementing it in the physical model. To this end, we propose two different algorithms, parameterized by the obstacle dimensions determined by image processing, and both are evaluated in simulated experiments. The results show that both algorithms are viable for testing in real robots, although more complex scenarios still need to be further studied.
metadata.dc.description.unidade:	Instituto de Ciências Exatas (IE) Departamento de Ciência da Computação (IE CIC) Faculdade de Tecnologia (FT) Departamento de Engenharia Mecânica (FT ENM)
Licença::	(CC-BY) Copyright: © 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ 4.0/).
DOI:	https://doi.org/10.3390/s24134424
metadata.dc.relation.publisherversion:	https://www.mdpi.com/1424-8220/24/13/4424
Collection(s) :	Artigos publicados em periódicos e afins

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