Articles de revista
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Understanding motion planning better: a comparative review of “Principles of robot motion: theory, algorithms, and implementations”, by H. Choset et al.
(Elsevier, 2007)
Article
Open AccessThe textbook on Motion Planning “Principles of Robot Motion: Theory, Algorithms, and Implementations”, by H. Choset et al., MIT Press, appeared on June 2005, is reviewed and compared to other two textbooks on the same ... -
Historia de la robótica: de Arquitas de Tarento al robot da Vinci (parte II)
(2007)
Article
Open AccessRobotic surgery is a reality. In order to to understand how new robots work is interesting to know the history of ancient (see part i) and modern robotics. The desire to design automatic machines imitating humans continued ... -
Cognitive system framework for brain-training exercise based on human-robot interactif
(2020-02-25)
Article
Open AccessEvery 3 seconds, someone develops dementia worldwide. Brain-training exercises, preferably involving also physical activity, have shown their potential to monitor and improve the brain function of people affected by Alzheimer ... -
Fault diagnosis for uncertain systems based on unknown input set-membership filters
(2018)
Article
Open AccessThis paper proposes a novel actuator fault diagnosis method for linear systems subject to parametric uncertainties and unknown disturbances. By considering the specified actuator faults as unknown inputs and approximating ... -
Exoesqueletos robóticos para volver a caminar
(Fundació Institut Guttmann, 2019-12-01)
Article
Open AccessAproximadamente el 60% de los pacientes con problemas neuromusculares padecen trastornos de la marcha que, a su vez, tienen un elevado impacto en su calidad de vida. -
Set-invariance characterizations of discrete-time descriptor systems with application to active mode detection
(2019-09-01)
Article
Open AccessIn this paper, we study robust invariant set characterizations of discrete-time descriptor systems and propose an active mode detection mechanism for discrete-time descriptor systems considering multiple modes of operation. ... -
Online reinforcement learning using a probability density estimation
(The MIT Press. Massachusetts Institute of Technology, 2017-01-01)
Article
Open AccessFunction approximation in online, incremental, reinforcement learning needs to deal with two fundamental problems: biased sampling and nonstationarity. In this kind of task, biased sampling occurs because samples are ... -
Robust periodic economic model predictive control using probabilistic set invariance for descriptor systems
(2018-01-01)
Article
Open AccessThis paper proposes a robust periodic economic model predictive control (MPC) using probabilistic set invariance for discrete-time descriptor systems. The considered systems are affected by additive disturbances that are ... -
Online learning and detection of faces with low human supervision
(Springer, 2019)
Article
Open AccessWe present an efficient,online,and interactive approach for computing a classifier, called Wild Lady Ferns (WiLFs), for face learning and detection using small human supervision. More precisely, on the one hand, WiLFs ... -
Using a new high-throughput video-tracking platform to assess behavioural changes in Daphnia magna exposed to neuro-active drugs
(Elsevier, 2019-04-20)
Article
Open AccessOne of the major challenges that faces today regulatory risk assessment is to speed up the way of assessing threshold sublethal detrimental effects of existing and new chemical products. Recently advances in imaging allows ... -
Solution intervals for variables in spatial RCRCR linkages
(2019-03-01)
Article
Open AccessAn analytic method to compute the solution intervals for the input variables of spatial RCRCR linkages and their inversions is presented. The input-output equation is formulated as the intersection of a single ellipse with ... -
Economic health-aware LPV-MPC based on system reliability assessment for water transport network
(2019-08-01)
Article
Open AccessThis paper proposes a health-aware control approach for drinking water transport networks. This approach is based on an economic model predictive control (MPC) that considers an additional goal with the aim of extending ...
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