Un nuevo enfoque en elastostática: elementos de contorno p-autoadaptables

Este trabajo describe la aplicación del Método de los Elementos de Contorno en su versión p-adaptable a problemas de elastostática lineal y su implementación en micro-ordenadores. Se demuestra que la técnica aquí propuesta es sumamente ventajosa en el análisis de medios continuos, consiguiéndose velocidades de convergencia mayores que las que se obtienen mediante el refinamiento tipo h. Se incluyen ejemplos ilustrativos

Obtención de la función de transferencia por interpolación en el dominio de la frecuencia

El método de la respuesta en frecuencia basado en el análisis de Fourier, se emplea para obtener la respuesta permanente de una estructura sometida a una fuerza de excitación no armónica o no periódica. La principal desventaja frente a otros métodos es la necesidad de obtener el espectro de respuesta para los infinitos puntos que forman el dominio de frecuencias. En este artículo se presenta un modelo de interpolación que permite reducir a unos pocos el número de puntos en que se resuelve la ecuación dinámica. Tales puntos son las frecuencias propias de la estructura. El espectro completo se obtiene por interpolación. En este sentido el tiempo de cálculo consumido se reduce ostensiblemente y el método gana en eficiencia. La validez del modelo se refleja en varios ejemplos de pórticos planos con amortiguamiento viscoso

MERLIN2: MachinEd Ros 2 pLanINg

Permanent link to code/repository used for this code version: https://github.com/SoftwareImpacts/SIMPAC-2023-26[EN] Any service robot should be able to make decisions and schedule tasks to reach predefined goals such as opening a door or assisting users at home. However, these processes are not single short-term tasks anymore and it is required to set long-term skills for establishing a control architecture that allows robots to perform daily tasks. This paper presents MERLIN2, a hybrid cognitive architecture based on symbolic planning and state machine decision-making systems that allows performing robot behaviors. The architecture can run in any robot running ROS 2, the latest version of the Robot Operative System. MERLIN2 is available at https://github.com/MERLIN2-ARCH/merlin2.SIMinisterio de Universidades (FPU21/01438)EUROPEAN REGIONAL DEVELOPMENT FUND (ERDF) "Una manera de hacer Europa

KANT: A tool for Grounding and Knowledge Management

The intelligent robotics community usually organizes knowledge into symbolic and sub-symbolic levels. These two levels establish the set of symbols and rules for manipulating knowledge based on their (symbol system - dictionary). Thus, the correspondences -- Grounding or knowledge representation -- require specific software techniques for anchoring continuous and discrete state variables between these two levels. This paper presents the design and evaluation of an Open Source tool called KANT(Knowledge mAnagemeNT) to let different components of the system architecture controlling the robot query, save, edit, and delete the data from the Knowledge Base without having to worry about the type and the implementation of the source data. Using KANT, components managing subsymbolic information can smoothly interact with symbolic components. Besides, implementation mechanisms used in KANT, such as the use of in-memory and non-SQL databases, improve the performance of the knowledge management systems in ROS middleware, as shown by the evaluations presented in this work

A robot-based surveillance system for recognising distress hand signal

[EN] Unfortunately, there are still cases of domestic violence or situations where it is necessary to call for help without arousing the suspicion of the aggressor. In these situations, the help signal devised by the Canadian Women's Foundation has proven to be effective in reporting a risky situation. By displaying a sequence of hand signals, it is possible to report that help is needed. This work presents a vision-based system that detects this sequence and implements it in a social robot, so that it can automatically identify unwanted situations and alert the authorities. The gesture recognition pipeline presented in this work is integrated into a cognitive architecture used to generate behaviours in robots. In this way, the robot interacts with humans and is able to detect if a person is calling for help. In that case, the robot will act accordingly without alerting the aggressor. The proposed vision system uses the MediaPipe library to detect people in an image and locate the hands, from which it extracts a set of hand landmarks that identify which gesture is being made. By analysing the sequence of detected gestures, it can identify whether a person is performing the distress hand signal with an accuracy of 96.43%.SIAgencia Estatal de InvestigaciónEDMAR Project PID2021-126592OB-C21 funded by MCIN/AEI/10.13039/501100011033 and by ERDF A way of making Europ

Integration of Large Language Models within Cognitive Architectures for Autonomous Robots

The usage of Large Language Models (LLMs) has increased recently, not only due to the significant improvements in their accuracy but also because of the use of the quantization that allows running these models without intense hardware requirements. As a result, the LLMs have proliferated. It implies the creation of a great variety of LLMs with different capabilities. This way, this paper proposes the integration of LLMs in cognitive architectures for autonomous robots. Specifically, we present the design, development and deployment of the llama\_ros tool that allows the easy use and integration of LLMs in ROS 2-based environments, afterward integrated with the state-of-the-art cognitive architecture MERLIN2 for updating a PDDL-based planner system. This proposal is evaluated quantitatively and qualitatively, measuring the impact of incorporating the LLMs in the cognitive architecture.Comment: 8 pages, 6 figures, 2 tables, Submitted to ICRA 202

Measuring the impact of haptic feedback in collaborative robotic scenarios

[EN] In recent years, the interaction of a human operator with teleoperated robotic systems has been much improved. One of the factors influencing this improvement is the addition of force feedback to complement the visual feedback provided by traditional graphical user interfaces. However, the users of these systems performing tasks in isolated and safe environments are often inexperienced and occasional users. In addition, there is no common framework to assess the usability of these systems, due to the heterogeneity of applications and tasks, and therefore, there is a need for new usability assessment methods that are not domain specific. This study addresses this issue by proposing a measure of usability that includes five variables: user efficiency, user effectiveness, mental workload, perceived usefulness, and perceived ease of use. The empirical analysis shows that the integration of haptic feedback improves the usability of these systems for non-expert users, even though the differences are not statistically significant; further, the results suggest that mental workload is higher when haptic feedback is added. The analysis also reveals significant differences between participants depending on gender.SIPublicación en abierto financiada por el Consorcio de Bibliotecas Universitarias de Castilla y León (BUCLE), con cargo al Programa Operativo 2014ES16RFOP009 FEDER 2014-2020 DE CASTILLA Y LEÓN, Actuación:20007-CL - Apoyo Consorcio BUCL