Maqya: Design of an autonomous low cost beach-cleaner robot for endanger beaches

Franco Rivadeneira; Sergio Martinez; Ariana Teran; Bonnie Arauco; Jesus Flores; Roberto Furukawa

doi:10.1109/INTERCON59652.2023.10326032

Maqya: Design of an autonomous low cost beach-cleaner robot for endanger beaches

Franco Rivadeneira, Sergio Martinez, Ariana Teran, Bonnie Arauco, Jesus Flores, Roberto Furukawa

Sección de Ingeniería Mecánica

Pontifical Catholic Univ. of Peru

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

2 Citas (Scopus)

Resumen

Pollution is a frequent problem on the most crowded beaches in cities. To solve this problem, the design of a robot integrated with computer vision that identifies places affected by excess waste is proposed and through the mechanical system, the collection of these is carried out for subsequent disposal. Hence, we have developed a low-cost autonomous cleaner robot design that using a YOLO V8 architecture will detect garbage on the sand beach in order to collect them. As a result, the robot was simulated using Robot Operating System (ROS) framework, and the predictive model with the best performance got a 90.95% precision, 78.37% recall, and an F1-Score of 84.19%, using the TACO dataset to train it.

Idioma original	Inglés
Título de la publicación alojada	Proceedings of the 2023 IEEE 30th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2023
Editorial	Institute of Electrical and Electronics Engineers Inc.
ISBN (versión digital)	9798350315578
DOI	https://doi.org/10.1109/INTERCON59652.2023.10326032
Estado	Publicada - 2023
Evento	30th IEEE International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2023 - Lima, Perú Duración: 2 nov. 2023 → 4 nov. 2023

Serie de la publicación

Nombre	Proceedings of the 2023 IEEE 30th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2023

Conferencia

Conferencia	30th IEEE International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2023
País/Territorio	Perú
Ciudad	Lima
Período	2/11/23 → 4/11/23

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10.1109/INTERCON59652.2023.10326032

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Rivadeneira, F., Martinez, S., Teran, A., Arauco, B., Flores, J., & Furukawa, R. (2023). Maqya: Design of an autonomous low cost beach-cleaner robot for endanger beaches. En Proceedings of the 2023 IEEE 30th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2023 (Proceedings of the 2023 IEEE 30th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/INTERCON59652.2023.10326032

Rivadeneira, Franco ; Martinez, Sergio ; Teran, Ariana et al. / Maqya : Design of an autonomous low cost beach-cleaner robot for endanger beaches. Proceedings of the 2023 IEEE 30th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2023. Institute of Electrical and Electronics Engineers Inc., 2023. (Proceedings of the 2023 IEEE 30th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2023).

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title = "Maqya: Design of an autonomous low cost beach-cleaner robot for endanger beaches",

abstract = "Pollution is a frequent problem on the most crowded beaches in cities. To solve this problem, the design of a robot integrated with computer vision that identifies places affected by excess waste is proposed and through the mechanical system, the collection of these is carried out for subsequent disposal. Hence, we have developed a low-cost autonomous cleaner robot design that using a YOLO V8 architecture will detect garbage on the sand beach in order to collect them. As a result, the robot was simulated using Robot Operating System (ROS) framework, and the predictive model with the best performance got a 90.95% precision, 78.37% recall, and an F1-Score of 84.19%, using the TACO dataset to train it.",

keywords = "Artificial Intelligence, Computer Vision, Robot Operating System",

author = "Franco Rivadeneira and Sergio Martinez and Ariana Teran and Bonnie Arauco and Jesus Flores and Roberto Furukawa",

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year = "2023",

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Rivadeneira, F, Martinez, S, Teran, A, Arauco, B, Flores, J & Furukawa, R 2023, Maqya: Design of an autonomous low cost beach-cleaner robot for endanger beaches. En Proceedings of the 2023 IEEE 30th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2023. Proceedings of the 2023 IEEE 30th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2023, Institute of Electrical and Electronics Engineers Inc., 30th IEEE International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2023, Lima, Perú, 2/11/23. https://doi.org/10.1109/INTERCON59652.2023.10326032

Maqya: Design of an autonomous low cost beach-cleaner robot for endanger beaches. / Rivadeneira, Franco; Martinez, Sergio; Teran, Ariana et al.
Proceedings of the 2023 IEEE 30th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2023. Institute of Electrical and Electronics Engineers Inc., 2023. (Proceedings of the 2023 IEEE 30th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2023).

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

TY - GEN

T1 - Maqya

T2 - 30th IEEE International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2023

AU - Rivadeneira, Franco

AU - Martinez, Sergio

AU - Teran, Ariana

AU - Arauco, Bonnie

AU - Flores, Jesus

AU - Furukawa, Roberto

PY - 2023

Y1 - 2023

N2 - Pollution is a frequent problem on the most crowded beaches in cities. To solve this problem, the design of a robot integrated with computer vision that identifies places affected by excess waste is proposed and through the mechanical system, the collection of these is carried out for subsequent disposal. Hence, we have developed a low-cost autonomous cleaner robot design that using a YOLO V8 architecture will detect garbage on the sand beach in order to collect them. As a result, the robot was simulated using Robot Operating System (ROS) framework, and the predictive model with the best performance got a 90.95% precision, 78.37% recall, and an F1-Score of 84.19%, using the TACO dataset to train it.

AB - Pollution is a frequent problem on the most crowded beaches in cities. To solve this problem, the design of a robot integrated with computer vision that identifies places affected by excess waste is proposed and through the mechanical system, the collection of these is carried out for subsequent disposal. Hence, we have developed a low-cost autonomous cleaner robot design that using a YOLO V8 architecture will detect garbage on the sand beach in order to collect them. As a result, the robot was simulated using Robot Operating System (ROS) framework, and the predictive model with the best performance got a 90.95% precision, 78.37% recall, and an F1-Score of 84.19%, using the TACO dataset to train it.

KW - Artificial Intelligence

KW - Computer Vision

KW - Robot Operating System

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BT - Proceedings of the 2023 IEEE 30th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2023

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Rivadeneira F, Martinez S, Teran A, Arauco B, Flores J, Furukawa R. Maqya: Design of an autonomous low cost beach-cleaner robot for endanger beaches. En Proceedings of the 2023 IEEE 30th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2023. Institute of Electrical and Electronics Engineers Inc. 2023. (Proceedings of the 2023 IEEE 30th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2023). doi: 10.1109/INTERCON59652.2023.10326032

Maqya: Design of an autonomous low cost beach-cleaner robot for endanger beaches

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