Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Victor Muñoz-Martinez"'
Autor:
Ana Cisnal, Juan-Carlos Fraile, Javier Pérez-Turiel, Victor Muñoz-Martinez, Carsten Müller, Frank R. Ihmig
Publikováno v:
Sensors, Vol 18, Iss 12, p 4152 (2018)
The design of safe stimulation protocols for functional electrostimulation requires knowledge of the “maximum reversible charge injection capacity„ of the implantable microelectrodes. One of the main difficulties encountered in characterizing suc
Externí odkaz:
https://doaj.org/article/edff685fc2e840789bbbe9b1163d8fa3
This book contains a selection of papers accepted for presentation and discussion at ROBOT 2015: Second Iberian Robotics Conference, held in Lisbon, Portugal, November 19th-21th, 2015. ROBOT 2015 is part of a series of conferences that are a joint or
This book contains a selection of papers accepted for presentation and discussion at ROBOT 2015: Second Iberian Robotics Conference, held in Lisbon, Portugal, November 19th-21th, 2015. ROBOT 2015 is part of a series of conferences that are a joint or
Publikováno v:
Sensors, Vol 19, Iss 12, p 2725 (2019)
Depending on their use, electrodes must have a certain size and design so as not to compromise their electrical characteristics. It is fundamental to be aware of all dependences on external factors that vary the electrochemical characteristics of the
Externí odkaz:
https://doaj.org/article/519f18730bb44f1da17f0e26e1ccc7bd
Autor:
Jose Barata, Eduardo Pinto, Luis Portugal, Francisco Marques, Paulo M.M. Rodrigues, André Silva, Andre Lourenco, Raquel Caldeira, José Corisco, Marta Almeida, Pedro Santana, Luis Flores, Magno Guedes, Pedro Deusdado, Ricardo Mendonca
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783319271484
ROBOT (2)
ROBOT (2)
This paper presents an aerial-ground field robotic team, designed to collect and transport soil and biota samples in estuarine mudflats. The robotic system has been devised so that its sampling and storage capabilities are suited for radionuclides an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6d487d31cc668ccdece9db3b259c51cc
https://doi.org/10.1007/978-3-319-27149-1_2
https://doi.org/10.1007/978-3-319-27149-1_2
Manual design of self-organized behavioral control for swarms of robots is a complex task. Neuroevolution has proved a viable alternative given its capacity to automatically synthesize controllers. In this paper, we introduce the concept of Genome Va
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1199::51282818ff426cf79bfaa79510a6b0e2
https://hdl.handle.net/10071/25063
https://hdl.handle.net/10071/25063