Exploració per autor "Torras, Carme"
Ara es mostren els items 112-131 de 226
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Kinematic Bézier maps
(2012)
Article
Accés obertThe kinematics of a robot with many degrees of freedom is a very complex function. Learning this function for a large workspace with a good precision requires a huge number of training samples, i.e., robot movements. In ... -
La ciencia ficción como estímulo del debate ético en robótica
(Icaria Editorial, 2022)
Capítol de llibre
Accés restringit per política de l'editorialEn este capítulo afirmamos que la ciencia ficción anticipatoria tiene un papel importante que desempeñar en el actual contexto de desarrollo tecnológico acelerado, ya que puede ayudar a prever posibles futuros alternativos ... -
Large-scale image classification using ensembles of nested dichotomies
(IOS Press, 2013)
Text en actes de congrés
Accés obertMany techniques to reduce the cost at test time in large-scale problems involve a hierarchical organization of classifiers, but are either too expensive to learn or degrade the classification performance. Conversely, in ... -
Learning cloth manipulation with demonstrations
(2019)
Report de recerca
Accés obertRecent advances in Deep Reinforcement learning and computational capabilities of GPUs have led to variety of research being conducted in the learning side of robotics. The main aim being that of making autonomous robots ... -
Learning collaborative impedance-based robot behaviors
(2013)
Text en actes de congrés
Accés obertResearch in learning from demonstration has focused on transferring movements from humans to robots. However, a need is arising for robots that do not just replicate the task on their own, but that also interact with humans ... -
Learning force-based robot skills from haptic demonstration
(IOS Press, 2010)
Text en actes de congrés
Accés obertLocally weighted as well as Gaussian mixtures learning algorithms are suitable strategies for trajectory learning and skill acquisition, in the context of programming by demonstration. Input streams other than visual ... -
Learning inverse kinematics: Reduced sampling through decomposition into virtual robots
(IEEE, 2008)
Article
Accés obertWe propose a technique to speed up the learning of the inverse kinematics of a robot manipulator by decomposing it into two or more virtual robot arms. Unlike previous decomposition approaches, this one does not place any ... -
Learning physical collaborative robot behaviors from human demonstrations
(Institute of Electrical and Electronics Engineers (IEEE), 2016-04-01)
Article
Accés obertRobots are becoming safe and smart enough to work alongside people not only on manufacturing production lines, but also in spaces such as houses, museums, or hospitals. This can be significantly exploited in situations in ... -
Learning probabilistic action models from interpretation transitions
(2015)
Text en actes de congrés
Accés obertProbabilistic planners are very flexible tools that provide good solutions for difficult tasks. However, they rely on a model of the domain and actions, which they have difficulties to learn for complex tasks. We propose ... -
Learning relational dynamics of stochastic domains for planning
(2016)
Text en actes de congrés
Accés obertProbabilistic planners are very flexible tools that can provide good solutions for difficult tasks. However, they rely on a model of the domain, which may be costly to either hand code or automatically learn for complex ... -
Learning RGB-D descriptors of garment parts for informed robot grasping
(2014)
Article
Accés obertRobotic handling of textile objects in household environments is an emerging application that has recently received considerable attention thanks to the development of domestic robots. Most current approaches follow a ... -
Learning robot policies using a high-level abstraction persona-behaviour simulator
(2019)
Text en actes de congrés
Accés obertCollecting data in Human-Robot Interaction for training learning agents might be a hard task to accomplish. This is especially true when the target users are older adults with dementia since this usually requires hours of ... -
Learning rules from cause-effects explanations
(2008)
Report de recerca
Accés obertIn this work we propose a learning system to learn on-line an action policy coded in rules using natural human instructions about cause-effect relations in currently observed situations. The instructions only on currently ... -
Learning weakly correlated cause-effects for gardening with a cognitive system
(2014)
Article
Accés obertWe propose a cognitive system that combines artificial intelligence techniques for planning and learning to execute tasks involving delayed and variable correlations between the actions executed and their expected effects. ... -
Leveraging multiple environments for learning and decision making: a dismantling use case
(Institute of Electrical and Electronics Engineers (IEEE), 2020)
Text en actes de congrés
Accés restringit per política de l'editorialLearning is usually performed by observing real robot executions. Physics-based simulators are a good alternative for providing highly valuable information while avoiding costly and potentially destructive robot executions. ... -
Lie algebra-based kinematic prior for 3D human pose tracking
(2015)
Text en actes de congrés
Accés obertWe propose a novel kinematic prior for 3D human pose tracking that allows predicting the position in subsequent frames given the current position. We first define a Riemannian manifold that models the pose and extend it ... -
Local stimulus disambiguation with global motion filters predicts adaptive surround modulation
(2013)
Article
Accés obertHumans have no problem segmenting different motion stimuli despite the ambiguity of local motion signals. Adaptive surround modulation, i.e., the apparent switching between integrative and antagonistic modes, is assumed ... -
Lock-in time-of-flight (ToF) cameras: a survey
(2011)
Article
Accés obertThis paper reviews the state-of-the art in the field of lock-in ToF cameras, their advantages, their limitations, the existing calibration methods, and the way they are being used, sometimes in combination with other ... -
Mixtures of controlled Gaussian processes for dynamical modeling of deformable objects
(Proceedings of Machine Learning Research (PMLR), 2022)
Text en actes de congrés
Accés obertControl and manipulation of objects is a highly relevant topic in Robotics research. Although significant advances have been made over the manipulation of rigid bodies, the manipulation of non-rigid objects is still ... -
Monocular object pose computation with the foveal-peripheral camera of the humanoid robot Armar-III
(IOS Press, 2008)
Capítol de llibre
Accés obertActive contour modelling is useful to fit non-textured objects, and algorithms have been developed to recover the motion of an object and its uncertainty. Here we show that these algorithms can be used also with point ...
