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Learning-based planner for unknown object dexterous manipulation using ANFIS
(2024-06-01)
Article
Open AccessDexterous manipulation of unknown objects performed by robots equipped with mechanical hands represents a critical challenge. The difficulties arise from the absence of a precise model of the manipulated objects, unpredictable ... -
Uncalibrated, unified and unsupervised specular-aware photometric stereo
(Springer, 2023)
Conference report
Open AccessIn this paper we present a variational approach to simultaneously recover the 3D reconstruction, reflectance, lighting and specularities of an object, all of them, from a set of RGB images. The approach works in an ... -
Context attention: human motion prediction using context information and deep learning attention models
(Springer, 2022)
Conference lecture
Open AccessThis work proposes a human motion prediction model for handover operations. The model uses a multi-headed attention architecture to process the human skeleton data together with contextual data from the operation. This ... -
The semanticity of catalan words: quantitative linguistics in the era of large language models
(Dykinson, 2024-07)
Part of book or chapter of book
Open AccessThe emergence of Large Language Models (LLMs) like ChatGPT has significantly transformed both theoretical and applied linguistics, raising a profound debate within linguistics. These models, such as GPT (Generative Pre-trained ... -
Knowledge-based execution configuration of behavior trees
(2024-05-13)
Research report
Open AccessAutomated planning is commonly used to obtain plans to solve particular tasks. To execute the plans, Behavior Trees (BTs) have emerged as a popular execution architecture due to their reactivity and modularity. Configuring ... -
Graduaciones. Dime cómo es tu graduación y te diré quién eres
(2024-06-21)
Article
Open AccessEn el contexto educativo, las graduaciones representan un momento culminante, un oasis de alegría, regocijo y satisfacción tras el arduo camino del aprendizaje. Este evento final, extático, no solo marca el fin de una etapa ... -
Anàlisi comparativa de sistemes de resposta interactiva a classe
(2024-07)
Research report
Restricted access - author's decisionEls Sistemes de Resposta Interactiva fomenten la participació a classe, poden motivar els alumnes i, per tant, millorar el seu aprenentatge. L’ús de les tecnologies a les classes és avui dia tema qüestionat en la comunitat ... -
Sensitivity analysis and calibration for a two-dimensional state-space model of metal hydride storage tanks based on experimental data
(Elsevier, 2024-06-12)
Article
Open AccessIn this paper, a state-space model of a metal hydride tank is formulated and analyzed in detail. Firstly, a three-dimensional state-space model of the metal hydride tank is simplified by assuming that the tank temperature ... -
User factors affecting the use of digital services in five European regions and countries
(Nature, 2024-05-08)
Article
Open AccessDigitalisation has great potential to reduce costs, improve access and enhance user experience. However, it could also increase inequality, with some people struggling to access and use digital services. It is important ... -
Towards transferring tactile-based continuous force control policies from simulation to robot
(2023)
Conference report
Open AccessThe advent of tactile sensors in robotics has sparked many ideas on how robots can leverage direct contact measurements of their environment interactions to improve manipulation tasks. An important line of research in this ... -
Back to MLP: a simple baseline for human motion prediction
(Institute of Electrical and Electronics Engineers (IEEE), 2023)
Conference report
Open AccessThis paper tackles the problem of human motion prediction, consisting in forecasting future body poses from historically observed sequences. State-of-the-art approaches provide good results, however, they rely on deep ... -
Visual semantic relatedness dataset for image captioning
(2023)
Conference report
Open AccessModern image captioning system relies heavily on extracting knowledge from images to capture the concept of a static story. In this paper, we propose a textual visual context dataset for captioning, in which the publicly ...