Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Ander Iriondo"'
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 3, p 816 (2021)
Grasping point detection has traditionally been a core robotic and computer vision problem. In recent years, deep learning based methods have been widely used to predict grasping points, and have shown strong generalization capabilities under uncerta
Externí odkaz:
https://doaj.org/article/13688196d8924384be165c960ce91196
Publikováno v:
Applied Sciences, Vol 9, Iss 2, p 348 (2019)
Programming robots to perform complex tasks is a very expensive job. Traditional path planning and control are able to generate point to point collision free trajectories, but when the tasks to be performed are complex, traditional planning and contr
Externí odkaz:
https://doaj.org/article/015ac620a6974feda23b42fa992a2f79
Publikováno v:
The International Journal of Advanced Manufacturing Technology. 125:1965-1985
This paper describes the dynamic mosaic planning method developed in the context of the PICKPLACE European project. The dynamic planner has allowed the development of a robotic system capable of packing a wide variety of objects without having to adj
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).
Autor:
Unai Bautista, Basilio Sierra, Mikel Altuna, Jorge Molina, Ander Iriondo, Jose Maria Martinez Otzeta, Elena Lazkano, Leire Zubia, Ane Fernandez, Loreto Susperregi
Publikováno v:
Bringing Innovative Robotic Technologies from Research Labs to Industrial End-users ISBN: 9783030345068
EuRoC
EuRoC
Distribution centers are facilities designed to store and manage different products to be redistributed to another location or directly to customers. Although these centers have a high degree of automation, tasks such as picking are hardly automatabl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4fd908c295da4b96b7381e65e004b9fd
https://doi.org/10.1007/978-3-030-34507-5_6
https://doi.org/10.1007/978-3-030-34507-5_6
Publikováno v:
Applied Sciences
Volume 9
Issue 2
Applied Sciences, Vol 9, Iss 2, p 348 (2019)
Volume 9
Issue 2
Applied Sciences, Vol 9, Iss 2, p 348 (2019)
Programming robots to perform complex tasks is a very expensive job. Traditional path planning and control are able to generate point to point collision free trajectories, but when the tasks to be performed are complex, traditional planning and contr