Zobrazeno 1 - 10
of 33
pro vyhledávání: '"Anthony Remazeilles"'
Publikováno v:
IEEE Access, Vol 12, Pp 92598-92611 (2024)
For the development of autonomous robotic systems, Dynamic Movement Primitives (DMP) and Artificial Potential Fields (APF) are two well known techniques. DMPs are a reference algorithm in robotics for one shot learning as they enable learning complex
Externí odkaz:
https://doaj.org/article/50df5a679828467094435a8f6ea7a91f
Publikováno v:
IEEE Access, Vol 11, Pp 80600-80612 (2023)
In this paper, an innovative algorithm for averaging a set of multivariate time series with different lengths based on Constrained Dynamic Time Warping (CDTW) is proposed. This approach relies on the CDTW to provide the non-linear alignment of the mu
Externí odkaz:
https://doaj.org/article/b192fdc8e80b4b359314c50c90ae6029
Autor:
Anthony Remazeilles, Alfonso Dominguez, Pierre Barralon, Adriana Torres-Pardo, David Pinto, Felix Aller, Katja Mombaur, Roberto Conti, Lorenzo Saccares, Freygardur Thorsteinsson, Erik Prinsen, Alberto Cantón, Javier Castilla, Clara B. Sanz-Morère, Jesús Tornero, Diego Torricelli
Publikováno v:
Frontiers in Robotics and AI, Vol 9 (2022)
This study describes the software methodology designed for systematic benchmarking of bipedal systems through the computation of performance indicators from data collected during an experimentation stage. Under the umbrella of the European project Eu
Externí odkaz:
https://doaj.org/article/2a88dd41622645f58ac8a1d2fa704ea7
Autor:
Irati Rasines, Miguel Prada, Viacheslav Bobrov, Dhruv Agrawal, Leire Martinez, Pedro Iriondo, Anthony Remazeilles, Joseph McIntyre
Publikováno v:
Applied Sciences, Vol 11, Iss 23, p 11199 (2021)
This study aims to evaluate different combinations of features and algorithms to be used in the control of a prosthetic hand wherein both the configuration of the fingers and the gripping forces can be controlled. This requires identifying machine le
Externí odkaz:
https://doaj.org/article/83621ed8ae5045a5bf812a7b667be71b
Publikováno v:
Sensors, Vol 21, Iss 4, p 1078 (2021)
Deep learning methods have been successfully applied to image processing, mainly using 2D vision sensors. Recently, the rise of depth cameras and other similar 3D sensors has opened the field for new perception techniques. Nevertheless, 3D convolutio
Externí odkaz:
https://doaj.org/article/237c77384cc640479d350610fdfefcd4
Publikováno v:
Applied Sciences, Vol 10, Iss 11, p 3701 (2020)
This article deals with the 2D image-based recognition of industrial parts. Methods based on histograms are well known and widely used, but it is hard to find the best combination of histograms, most distinctive for instance, for each situation and w
Externí odkaz:
https://doaj.org/article/62c313a1d48f4acf8f00b158f93fa7a4
Autor:
Anthony Remazeilles, Irati Rasines, Asier Fernandez, Maike Neumann, Michael Beetz, Mathieu Grossard, Clive Hellingman, Carl-Helmut Coulon, Torben Cichon, Florian Gosselin, Markus Vincze
Publikováno v:
ROBOT2022: Fifth Iberian Robotics Conference ISBN: 9783031210648
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3d33717d3d806304b357fdea271b80e6
https://doi.org/10.1007/978-3-031-21065-5_19
https://doi.org/10.1007/978-3-031-21065-5_19
Publikováno v:
Biosystems & Biorobotics ISBN: 9783030695460
In the European project EUROBENCH, we are developing a framework for benchmarking the performances of bipedal systems: from humans to humanoids through wearable robots. Fair benchmarking requires defining and sharing clear and complete protocols so t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8bce704b2da47f9d0d3a2a3bd0b7b2e4
http://hdl.handle.net/10261/305055
http://hdl.handle.net/10261/305055
Autor:
Viacheslav Bobrov, Miguel Prada, Leire Martinez, Dhruv Agrawal, Joseph McIntyre, Pedro Iriondo, Irati Rasines, Anthony Remazeilles
Publikováno v:
Applied Sciences; Volume 11; Issue 23; Pages: 11199
Addi. Archivo Digital para la Docencia y la Investigación
instname
Applied Sciences, Vol 11, Iss 11199, p 11199 (2021)
TECNALIA Publications
Fundación Tecnalia Research & Innovation
Addi. Archivo Digital para la Docencia y la Investigación
instname
Applied Sciences, Vol 11, Iss 11199, p 11199 (2021)
TECNALIA Publications
Fundación Tecnalia Research & Innovation
This study aims to evaluate different combinations of features and algorithms to be used in the control of a prosthetic hand wherein both the configuration of the fingers and the gripping forces can be controlled. This requires identifying machine le
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9896068d9d78ce3922d5a965a6bc7d0b
Publikováno v:
Sensors (Basel, Switzerland)
Sensors, Vol 21, Iss 1078, p 1078 (2021)
TECNALIA Publications
Fundación Tecnalia Research & Innovation
Addi: Archivo Digital para la Docencia y la Investigación
Universidad del País Vasco
Addi. Archivo Digital para la Docencia y la Investigación
instname
Sensors
Volume 21
Issue 4
Sensors, Vol 21, Iss 1078, p 1078 (2021)
TECNALIA Publications
Fundación Tecnalia Research & Innovation
Addi: Archivo Digital para la Docencia y la Investigación
Universidad del País Vasco
Addi. Archivo Digital para la Docencia y la Investigación
instname
Sensors
Volume 21
Issue 4
Deep learning methods have been successfully applied to image processing, mainly using 2D vision sensors. Recently, the rise of depth cameras and other similar 3D sensors has opened the field for new perception techniques. Nevertheless, 3D convolutio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2b980727214675690c88f89ec051db22
https://pubmed.ncbi.nlm.nih.gov/33557360
https://pubmed.ncbi.nlm.nih.gov/33557360