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Cognitive system framework for brain-training exercise based on human-robot interactif
(2020-02-25)
Article
Restricted access - publisher's policyEvery 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 ... -
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 ... -
Detailed 3D face reconstruction from a single RGB image
(2019-01-01)
Article
Open AccessThis paper introduces a method to obtain a detailed 3D reconstruction of facial skin from a single RGB image. To this end, we propose the exclusive use of an input image without requiring any information about the observed ... -
A review and comparison of ontology-based approaches to robot autonomy
(2019-01-01)
Article
Open AccessWithin the next decades, robots will need to be able to execute a large variety of tasks autonomously in a large variety of environments. To relax the resulting programming effort, a knowledge-enabled approach to robot ... -
Practical resolution methods for MDPs in robotics exemplified with disassembly planning
(Institute of Electrical and Electronics Engineers (IEEE), 2019-07-01)
Article
Open AccessIn this paper we focus on finding practical resolution methods for Markov Decision Processes (MDPs) in robotics. Some of the main difficulties of applying MDPs to real-world robotics problems are: (1) having to deal with ... -
On Cayley's factorization with an application to the orthonormalization of noisy rotation matrices
(2019-05-09)
Article
Open AccessA real orthogonal matrix representing a rotation in four dimensions can be decomposed into the commutative product of a left- and a right-isoclinic rotation matrix. This operation, known as Cayley's factorization, directly ... -
Exploiting symmetries in reinforcement learning of bimanual robotic tasks
(Institute of Electrical and Electronics Engineers (IEEE), 2019)
Article
Open AccessMovement Primitives (MPs) have been widely adopted for representing and learning robotic movements using Reinforcement Learning Policy Search. Probabilistic Movement Primitives (ProMPs) are a kind of MP based on a stochastic ... -
On inferring intentions in shared tasks for industrial collaborative robots
(2019)
Article
Open AccessInferring human operators' actions in shared collaborative tasks, plays a crucial role in enhancing the cognitive capabilities of industrial robots. In all these incipient collaborative robotic applications, humans and ... -
Assistive robotics: research challenges and ethics education initiatives
(2019)
Article
Open AccessAssistive robotics is a fast growing field aimed at helping healthcarers in hospitals, rehabilitation centers and nursery homes, as well as empowering people with reduced mobility at home, so that they can autonomously ... -
Robust spatio-temporal clustering and reconstruction of multiple deformable bodies
(Institute of Electrical and Electronics Engineers (IEEE), 2019-04-01)
Article
Open AccessIn this paper we present an approach to reconstruct the 3D shape of multiple deforming objects from a collection of sparse, noisy and possibly incomplete 2D point tracks acquired by a single monocular camera. Additionally, ... -
Shape basis interpretation for monocular deformable 3D reconstruction
(2019)
Article
Open AccessIn this paper, we propose a novel interpretable shape model to encode object non-rigidity. We first use the initial frames of a monocular video to recover a rest shape, used later to compute a dissimilarity measure based ...
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