Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Iker Lluvia"'
Publikováno v:
IEEE Access, Vol 11, Pp 9122-9135 (2023)
Digital 3D models of environments are of great value in many applications, but the algorithms that build them autonomously are computationally expensive and require a considerable amount of time to perform this task. In this work, we present an activ
Externí odkaz:
https://doaj.org/article/52742c5ccc464fa7934c0907b21c258c
Autor:
Vignesh Sampath, Iñaki Maurtua, Juan José Aguilar Martín, Ander Iriondo, Iker Lluvia, Gotzone Aizpurua
Publikováno v:
Sensors, Vol 23, Iss 4, p 1861 (2023)
Surface defect identification based on computer vision algorithms often leads to inadequate generalization ability due to large intraclass variation. Diversity in lighting conditions, noise components, defect size, shape, and position make the proble
Externí odkaz:
https://doaj.org/article/d85a003af2424cda865df1500af2cd5b
Publikováno v:
Sensors, Vol 21, Iss 7, p 2445 (2021)
Simultaneous localization and mapping responds to the problem of building a map of the environment without any prior information and based on the data obtained from one or more sensors. In most situations, the robot is driven by a human operator, but
Externí odkaz:
https://doaj.org/article/c6eb739f1cf94c1f8ef48c1c154243ce
Publikováno v:
International Journal of Machine Learning and Cybernetics.
This work focuses on the operation of picking an object on a table with a mobile manipulator. We use deep reinforcement learning (DRL) to learn a positioning policy for the robot’s base by considering the reachability constraints of the arm. This w
Autor:
Vignesh Sampath, Inaki Maurtua, Juan Jose Aguilar Martin, Ander Iriondo, Iker Lluvia, Andoni Rivera
Publikováno v:
2022 International Conference on Electrical, Computer and Energy Technologies (ICECET).
Publikováno v:
Journal of Computer and Communications. :1-16
Many mobile robotics applications, especially in industrial environments, require the robot to perform safe navigation and then reach the goal with a high precision. In this research work, the objective is to analyze the appropriateness of autonomous
Autor:
Joaquin Reyes Gonzalez, Jeroen Verschoore, Smita Tiwari, Oscar Rey, Raul Arnau, Maria Campo-Cossio, Yuheng Zheng, Iker Lluvia, Dimitrios Fryganiotis, Libor Lenza, David Obregon, Carlos Tubío, Jon Martin, Dalibor Huska, Michael Pattinson
Publikováno v:
ENC
European agriculture is facing numerous challenges such as population growth, climate change, resource shortages and increased competition, and hence the challenge today is to produce “more with less”. Greenhouses protect crops from adverse weath
Autor:
Jeroen Verschoore, Yuheng Zheng, Raul Arnau, Ander Ansuategui, Carlos Tubío, Joaquin Reyes, Oscar Rey, Vojtech Adam, David Obregon, Iker Lluvia, Michael Pattinson, Smita Tiwari, Maria Campo-Cossio
Publikováno v:
2020 IEEE/ION Position, Location and Navigation Symposium (PLANS)
PLANS
PLANS
The use of autonomous robots for certain tasks within agriculture applications can bring many advantages. The H2020-funded GreenPatrol project has developed an autonomous system for pest detection and treatment within commercial greenhouses. In this
Autor:
Joaquin Reyes, Raul Arnau, Maria Campo-Cossio, Michael Pattinson, Jeroen Verschoore, Oscar Rey, Juan G. Arroyo-Parras, Smita Tiwari, Iker Lluvia, Libor Lenza, David Obregon
Publikováno v:
From Bioinspired Systems and Biomedical Applications to Machine Learning ISBN: 9783030196509
IWINAC (2)
From Bioinspired Systems and Biomedical Applications to Machine Learning-8th International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2019, Almería, Spain, June 3–7, 2019, Proceedings, Part II
Lecture Notes in Computer Science
Lecture Notes in Computer Science-From Bioinspired Systems and Biomedical Applications to Machine Learning
IWINAC (2)
From Bioinspired Systems and Biomedical Applications to Machine Learning-8th International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2019, Almería, Spain, June 3–7, 2019, Proceedings, Part II
Lecture Notes in Computer Science
Lecture Notes in Computer Science-From Bioinspired Systems and Biomedical Applications to Machine Learning
This document describes the design and verification of the GreenPatrol localization subsystem. Greenpatrol is an autonomous robot system intended to operate in light indoor environments, such as greenhouses, detecting and treating pests in high-value
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1a7f83e47c268e1d38847a3b07512480
https://doi.org/10.1007/978-3-030-19651-6_9
https://doi.org/10.1007/978-3-030-19651-6_9
Publikováno v:
Sensors (Basel, Switzerland)
Sensors, Vol 21, Iss 2445, p 2445 (2021)
Addi. Archivo Digital para la Docencia y la Investigación
Universidad de Cantabria (UC)
instname
Addi: Archivo Digital para la Docencia y la Investigación
Universidad del País Vasco
Sensors, Vol 21, Iss 2445, p 2445 (2021)
Addi. Archivo Digital para la Docencia y la Investigación
Universidad de Cantabria (UC)
instname
Addi: Archivo Digital para la Docencia y la Investigación
Universidad del País Vasco
Simultaneous localization and mapping responds to the problem of building a map of the environment without any prior information and based on the data obtained from one or more sensors. In most situations, the robot is driven by a human operator, but