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Francisco J. Rodrı́guez Lera received his Ph.D. degree in intelligent systems for engineering in 2015 from the School of Industrial Engineering and Information Technology at University of León (Spain). He is working as a researcher in the Mobile Robotics Group at University of León after two years as postdoctoral research associate in the AI Robolab at the University of Luxembourg. Much of his research interest lies in developing technologies for social robots. Targeting human–robot interaction scenarios, he has been working on the development of cognitive architectures, cybersecurity issues associated with robot middleware, and new trends in explainable and accountable robotics.
Virtual desktops in cloud scenarios play a significant role in higher education. Nowadays, the idea of moving laboratories to the cloud seems mandatory and it is necessary to maintain students’ commitment in this new scenario. This paper aims at two targets, customizing a Virtual Desktop platform for delivering the laboratories of a programming course in a Computer Science Bachelor Degree and empirically apply the technology acceptance model and the system usability scale to a set of students that use it. Results obtained in this paper provide insights about the direct effect between the perceived ease of use, perceived usefulness, and attitude to technology following the technology acceptance model (TAM) as well as a comprehensive analysis of the system usability scale (SUS) of our platform.
Francisco Rodríguez Lera; David Fernández González; Francisco Martín Rico; Ángel Guerrero-Higueras; Miguel Conde. Measuring Students Acceptance and Usability of a Cloud Virtual Desktop Solution for a Programming Course. Applied Sciences 2021, 11, 7157 .
AMA StyleFrancisco Rodríguez Lera, David Fernández González, Francisco Martín Rico, Ángel Guerrero-Higueras, Miguel Conde. Measuring Students Acceptance and Usability of a Cloud Virtual Desktop Solution for a Programming Course. Applied Sciences. 2021; 11 (15):7157.
Chicago/Turabian StyleFrancisco Rodríguez Lera; David Fernández González; Francisco Martín Rico; Ángel Guerrero-Higueras; Miguel Conde. 2021. "Measuring Students Acceptance and Usability of a Cloud Virtual Desktop Solution for a Programming Course." Applied Sciences 11, no. 15: 7157.
Instant Messaging tools are a part of our technified daily life. Tools such as WhatsApp or Telegram have millions of users that send continuously billion of messages. This can be used in different context and one of them is in Education. An important part of education is students’ interaction and specially how they interact when working together as a team. This paper deals with an analysis of which of this tool is better in this specific context, especially when students are developing teamwork competences. To facilitate the analysis of the messages two Learning Analytics tools were developed and applied in the context of a Computer Science degree subject, with an important increment in students’ number of messages regarding previous years but several issues to explore, such as: how to deal with the students that employs other tools different to this for interacting with peers, how to encourage students to employ instant messaging tools as real communication mechanisms, how to measure messages content and not only quantity or how to identify the acquisition of other competences analyzing the conversations.
Miguel Á. Conde; Francisco J. Rodríguez-Sedano; Francisco J. Rodríguez Lera; Alexis Gutiérrez-Fernández; Ángel Manuel Guerrero-Higueras. WhatsApp or Telegram. Which is the Best Instant Messaging Tool for the Interaction in Teamwork? Algorithms and Data Structures 2021, 239 -249.
AMA StyleMiguel Á. Conde, Francisco J. Rodríguez-Sedano, Francisco J. Rodríguez Lera, Alexis Gutiérrez-Fernández, Ángel Manuel Guerrero-Higueras. WhatsApp or Telegram. Which is the Best Instant Messaging Tool for the Interaction in Teamwork? Algorithms and Data Structures. 2021; ():239-249.
Chicago/Turabian StyleMiguel Á. Conde; Francisco J. Rodríguez-Sedano; Francisco J. Rodríguez Lera; Alexis Gutiérrez-Fernández; Ángel Manuel Guerrero-Higueras. 2021. "WhatsApp or Telegram. Which is the Best Instant Messaging Tool for the Interaction in Teamwork?" Algorithms and Data Structures , no. : 239-249.
Social robots have an enormous potential for educational applications and allow for cognitive outcomes that are similar to those with human involvement. Remotely controlling a social robot to interact with students and peers in an immersive fashion opens up new possibilities for instructors and learners alike. Using immersive approaches can promote engagement and have beneficial effects on remote lesson delivery and participation. However, the performance and power consumption associated with the involved devices are often not sufficiently contemplated, despite being particularly important in light of sustainability considerations. The contributions of this research are thus twofold. On the one hand, we present telepresence solutions for a social robot’s location-independent operation using (a) a virtual reality headset with controllers and (b) a mobile augmented reality application. On the other hand, we perform a thorough analysis of their power consumption and system performance, discussing the impact of employing the various technologies. Using the QTrobot as a platform, direct and immersive control via different interaction modes, including motion, emotion, and voice output, is possible. By not focusing on individual subsystems or motor chains, but the cumulative energy consumption of an unaltered robot performing remote tasks, this research provides orientation regarding the actual cost of deploying immersive robotic telepresence solutions.
Jean Botev; Francisco Rodríguez Lera. Immersive Robotic Telepresence for Remote Educational Scenarios. Sustainability 2021, 13, 4717 .
AMA StyleJean Botev, Francisco Rodríguez Lera. Immersive Robotic Telepresence for Remote Educational Scenarios. Sustainability. 2021; 13 (9):4717.
Chicago/Turabian StyleJean Botev; Francisco Rodríguez Lera. 2021. "Immersive Robotic Telepresence for Remote Educational Scenarios." Sustainability 13, no. 9: 4717.
Researchers in every knowledge field are moving towards the use of supercomputing facilities because the computing power they can provide is not achievable by individual research groups. The use of supercomputing centers would allow them to reduce costs and time. Additionally, there is a growing trend towards the use of GPUs clusters in HPC centers to accelerate particularly parallel codes as the ones related with the training of artificial neural networks. This paper presents a successful use case of a supercomputing facility, SCAYLE - Centro de Supercomputación de Castilla y León -(Spain) by a group of robotic researchers while participating in an international robotics competition - the ERL Smart CIty RObotic Challenge (SciRoc). The goal of the paper is to show that HPC facilities can be required to provided particular SLAs (Service Level Agreement). In the case described, the HPC services were used to train neural networks for object recognition, that could not be easily trained on-site and that cannot be trained in advanced because of the regulation of the competition.
Claudia Álvarez Aparicio; Jonatan Ginés; Miguel A. Santamarta; Francisco Martín Rico; Ángel M. Guerrero Higueras; Francisco J. Rodríguez Lera; Vicente Matellán Olivera. Using HPC as a Competitive Advantage in an International Robotics Challenge. Communications in Computer and Information Science 2021, 103 -114.
AMA StyleClaudia Álvarez Aparicio, Jonatan Ginés, Miguel A. Santamarta, Francisco Martín Rico, Ángel M. Guerrero Higueras, Francisco J. Rodríguez Lera, Vicente Matellán Olivera. Using HPC as a Competitive Advantage in an International Robotics Challenge. Communications in Computer and Information Science. 2021; ():103-114.
Chicago/Turabian StyleClaudia Álvarez Aparicio; Jonatan Ginés; Miguel A. Santamarta; Francisco Martín Rico; Ángel M. Guerrero Higueras; Francisco J. Rodríguez Lera; Vicente Matellán Olivera. 2021. "Using HPC as a Competitive Advantage in an International Robotics Challenge." Communications in Computer and Information Science , no. : 103-114.
Francisco Borja Garnelo Del Río; Francisco J. Rodríguez Lera; Gonzalo Esteban Costales; Camino Fernández Llamas; Vicente Matellán Olivera. HOUSE: Marco de trabajo modular de arquitectura escalable y desacoplada para el uso de técnicas de fuzzing en HPC. Investigación en Ciberseguridad 2021, 1 .
AMA StyleFrancisco Borja Garnelo Del Río, Francisco J. Rodríguez Lera, Gonzalo Esteban Costales, Camino Fernández Llamas, Vicente Matellán Olivera. HOUSE: Marco de trabajo modular de arquitectura escalable y desacoplada para el uso de técnicas de fuzzing en HPC. Investigación en Ciberseguridad. 2021; ():1.
Chicago/Turabian StyleFrancisco Borja Garnelo Del Río; Francisco J. Rodríguez Lera; Gonzalo Esteban Costales; Camino Fernández Llamas; Vicente Matellán Olivera. 2021. "HOUSE: Marco de trabajo modular de arquitectura escalable y desacoplada para el uso de técnicas de fuzzing en HPC." Investigación en Ciberseguridad , no. : 1.
Gonzalo García Miranda; Alberto Calvo García; Claudia Álvarez Aparicio; Ángel Manuel Guerrero Higueras; Francisco Javier Rodríguez Lera; Camino Fernández Llamas. Entrenamiento optimizado de redes neuronales para reconocimiento biométrico. Investigación en Ciberseguridad 2021, 1 .
AMA StyleGonzalo García Miranda, Alberto Calvo García, Claudia Álvarez Aparicio, Ángel Manuel Guerrero Higueras, Francisco Javier Rodríguez Lera, Camino Fernández Llamas. Entrenamiento optimizado de redes neuronales para reconocimiento biométrico. Investigación en Ciberseguridad. 2021; ():1.
Chicago/Turabian StyleGonzalo García Miranda; Alberto Calvo García; Claudia Álvarez Aparicio; Ángel Manuel Guerrero Higueras; Francisco Javier Rodríguez Lera; Camino Fernández Llamas. 2021. "Entrenamiento optimizado de redes neuronales para reconocimiento biométrico." Investigación en Ciberseguridad , no. : 1.
Reinforcement learning has shown great promise in robotics thanks to its ability to develop efficient robotic control procedures through self-training. In particular, reinforcement learning has been successfully applied to solving the reaching task with robotic arms. In this paper, we define a robust, reproducible and systematic experimental procedure to compare the performance of various model-free algorithms at solving this task. The policies are trained in simulation and are then transferred to a physical robotic manipulator. It is shown that augmenting the reward signal with the Hindsight Experience Replay exploration technique increases the average return of off-policy agents between 7 and 9 folds when the target position is initialised randomly at the beginning of each episode.
Pierre Aumjaud; David McAuliffe; Francisco Javier Rodríguez-Lera; Philip Cardiff. Reinforcement Learning Experiments and Benchmark for Solving Robotic Reaching Tasks. Advances in Intelligent Systems and Computing 2020, 318 -331.
AMA StylePierre Aumjaud, David McAuliffe, Francisco Javier Rodríguez-Lera, Philip Cardiff. Reinforcement Learning Experiments and Benchmark for Solving Robotic Reaching Tasks. Advances in Intelligent Systems and Computing. 2020; ():318-331.
Chicago/Turabian StylePierre Aumjaud; David McAuliffe; Francisco Javier Rodríguez-Lera; Philip Cardiff. 2020. "Reinforcement Learning Experiments and Benchmark for Solving Robotic Reaching Tasks." Advances in Intelligent Systems and Computing , no. : 318-331.
Nowadays, working in groups is very usual and popular in most professional environments. Thus, students, as potential workers, need to acquire teamwork competence in their educational institutions. However, when the students are working in groups, it is easy assessing their final result but not so much evaluating how each of them, individually, is developing teamwork competence. In this sense, there are several methodologies, and those with better results are the ones that explore students’ interactions in learning platforms when developing the activity/project. Taking into account the latter, students’ interactions do not only happen in a learning platform but also using other tools such as instant messaging tools. This paper explores the possibility to assess the use of instant messaging tools for the acquisition of teamwork competence, and specifically, it presents a case study about the use of WhatsApp. From the results, we can conclude that the students prefer to use instant messaging tools in teamwork activities than other interaction tools as forums; and that the employment of those tools has a positive impact in students’ grades.
Miguel Á. Conde; Francisco J. Rodríguez-Sedano; Francisco J. Rodríguez-Lera; Alexis Gutiérrez-Fernández; Ángel M. Guerrero-Higueras. Assessing the individual acquisition of teamwork competence by exploring students’ instant messaging tools use: the WhatsApp case study. Universal Access in the Information Society 2020, 20, 441 -450.
AMA StyleMiguel Á. Conde, Francisco J. Rodríguez-Sedano, Francisco J. Rodríguez-Lera, Alexis Gutiérrez-Fernández, Ángel M. Guerrero-Higueras. Assessing the individual acquisition of teamwork competence by exploring students’ instant messaging tools use: the WhatsApp case study. Universal Access in the Information Society. 2020; 20 (3):441-450.
Chicago/Turabian StyleMiguel Á. Conde; Francisco J. Rodríguez-Sedano; Francisco J. Rodríguez-Lera; Alexis Gutiérrez-Fernández; Ángel M. Guerrero-Higueras. 2020. "Assessing the individual acquisition of teamwork competence by exploring students’ instant messaging tools use: the WhatsApp case study." Universal Access in the Information Society 20, no. 3: 441-450.
This paper presents the evolution of a robotic architecture intended for controlling autonomous social robots. The first instance of this architecture was originally designed according to behavior-based principles. The building blocks of this architecture were behaviors designed as a finite state machine and organized in an ethological inspired way. However, the need of managing explicit symbolic knowledge in human–robot interaction required the integration of planning capabilities into the architecture and a symbolic representation of the environment and the internal state of the robot. A major contribution of this paper is the description of the working memory that integrates these two approaches. This working memory has been implemented as a distributed graph. Another contribution is the use of behavior trees instead of state machine for implementing the behavior-based part of the architecture. This late version of the architecture has been tested in robotic competitions (RoboCup or European Robotics League, among others), whose performance is also discussed in this paper.
Francisco Martín; Francisco J. Rodríguez Lera; Jonatan Ginés; Vicente Matellán. Evolution of a Cognitive Architecture for Social Robots: Integrating Behaviors and Symbolic Knowledge. Applied Sciences 2020, 10, 6067 .
AMA StyleFrancisco Martín, Francisco J. Rodríguez Lera, Jonatan Ginés, Vicente Matellán. Evolution of a Cognitive Architecture for Social Robots: Integrating Behaviors and Symbolic Knowledge. Applied Sciences. 2020; 10 (17):6067.
Chicago/Turabian StyleFrancisco Martín; Francisco J. Rodríguez Lera; Jonatan Ginés; Vicente Matellán. 2020. "Evolution of a Cognitive Architecture for Social Robots: Integrating Behaviors and Symbolic Knowledge." Applied Sciences 10, no. 17: 6067.
Many social robots deployed in public spaces hide hybrid cognitive architectures for dealing with daily tasks. Mostly, two main blocks sustain these hybrid architectures for robot behavior generation: deliberative and behavioral-based mechanisms. Robot Operating System offers different solutions for implementing these blocks, however, some issues arise when both are released in the robot. This paper presents a software engineering approach for normalizing the process of integrating them and presenting them as a fully cognitive architecture named MERLIN. Providing implementation details and diagrams for established the architecture, this research tests empirically the proposed solution using a variation from the challenge defined in the SciRoc @home competition. The results validate the usability of our approach and show MERLIN as a hybrid architecture ready for short and long-term tasks, showing better results than using a by default approach, particularly when it is deployed in highly interactive scenarios.
Miguel Á. González-Santamarta; Francisco J. Rodríguez-Lera; Claudia Álvarez-Aparicio; Ángel M. Guerrero-Higueras; Camino Fernández-Llamas. MERLIN a Cognitive Architecture for Service Robots. Applied Sciences 2020, 10, 5989 .
AMA StyleMiguel Á. González-Santamarta, Francisco J. Rodríguez-Lera, Claudia Álvarez-Aparicio, Ángel M. Guerrero-Higueras, Camino Fernández-Llamas. MERLIN a Cognitive Architecture for Service Robots. Applied Sciences. 2020; 10 (17):5989.
Chicago/Turabian StyleMiguel Á. González-Santamarta; Francisco J. Rodríguez-Lera; Claudia Álvarez-Aparicio; Ángel M. Guerrero-Higueras; Camino Fernández-Llamas. 2020. "MERLIN a Cognitive Architecture for Service Robots." Applied Sciences 10, no. 17: 5989.
The ability to understand why a particular robot behavior was triggered is a cornerstone for having human-acceptable social robots. Every robot action should be able to be explained and audited, expected and unexpected robot behaviors should generate a fingerprint showing the components and events that produce them. This research proposes a three-dimensional model for accountability in autonomous robots. The model shows three different elements that deal with the different levels of information, from low-level such as logging to a high level, such as robot behavior. The model proposes three different approaches of visualization, one on command line and two using GUI. The three-level system allows a better understanding of robot behaviors and simplifies the mapping of observable behaviors with accountable information.
Francisco Javier Rodríguez-Lera; Miguel Ángel González Santamarta; Ángel Manuel Guerrero; Francisco Martín; Vicente Matellán. Traceability and Accountability in Autonomous Agents. Proceedings of the 2nd International Conference on Data Engineering and Communication Technology 2020, 295 -305.
AMA StyleFrancisco Javier Rodríguez-Lera, Miguel Ángel González Santamarta, Ángel Manuel Guerrero, Francisco Martín, Vicente Matellán. Traceability and Accountability in Autonomous Agents. Proceedings of the 2nd International Conference on Data Engineering and Communication Technology. 2020; ():295-305.
Chicago/Turabian StyleFrancisco Javier Rodríguez-Lera; Miguel Ángel González Santamarta; Ángel Manuel Guerrero; Francisco Martín; Vicente Matellán. 2020. "Traceability and Accountability in Autonomous Agents." Proceedings of the 2nd International Conference on Data Engineering and Communication Technology , no. : 295-305.
Socially assistive robots have been used in the care of elderly or dependent people, particularly with patients suffering from neurological diseases, like autism and dementia. There are some proposals, but there are no standardized mechanisms for assessing a particular robot’s suitability for specific therapy. This paper reports the evaluation of an acceptance test for assistive robots applied to people with dementia. The proposed test focuses on evaluating the suitability of a robot during therapy sessions. The test measures the rejection of the robot by the patient based on observational data. This test would recommend what kind of robot and what functionalities can be used in therapy. The novelty of this approach is the formalization of a specific validation process that only considers the reaction of the person to whom the robot is applied, and may be used more effectively than existing tests, which may not be adequate for evaluating assistance robots. The test’s feasibility was tested by applying it to a set of dementia patients in a specialized care facility.
Francisco Martin Ricoín; Francisco J. Rodríguez-Lera; Jonatan Ginés Clavero; Ángel Manuel Guerrero-Higueras; Vicente Matellán Olivera. An Acceptance Test for Assistive Robots. Sensors 2020, 20, 3912 .
AMA StyleFrancisco Martin Ricoín, Francisco J. Rodríguez-Lera, Jonatan Ginés Clavero, Ángel Manuel Guerrero-Higueras, Vicente Matellán Olivera. An Acceptance Test for Assistive Robots. Sensors. 2020; 20 (14):3912.
Chicago/Turabian StyleFrancisco Martin Ricoín; Francisco J. Rodríguez-Lera; Jonatan Ginés Clavero; Ángel Manuel Guerrero-Higueras; Vicente Matellán Olivera. 2020. "An Acceptance Test for Assistive Robots." Sensors 20, no. 14: 3912.
Different Machine Learning techniques to detect software vulnerabilities have emerged in scientific and industrial scenarios. Different actors in these scenarios aim to develop algorithms for predicting security threats without requiring human intervention. However, these algorithms require data-driven engines based on the processing of huge amounts of data, known as datasets. This paper introduces the SonarCloud Vulnerable Code Prospector for C (SVCP4C). This tool aims to collect vulnerable source code from open source repositories linked to SonarCloud, an online tool that performs static analysis and tags the potentially vulnerable code. The tool provides a set of tagged files suitable for extracting features and creating training datasets for Machine Learning algorithms. This study presents a descriptive analysis of these files and overviews current status of C vulnerabilities, specifically buffer overflow, in the reviewed public repositories.
Razvan Raducu; Gonzalo Esteban; Francisco J. Rodríguez Lera; Camino Fernández. Collecting Vulnerable Source Code from Open-Source Repositories for Dataset Generation. Applied Sciences 2020, 10, 1270 .
AMA StyleRazvan Raducu, Gonzalo Esteban, Francisco J. Rodríguez Lera, Camino Fernández. Collecting Vulnerable Source Code from Open-Source Repositories for Dataset Generation. Applied Sciences. 2020; 10 (4):1270.
Chicago/Turabian StyleRazvan Raducu; Gonzalo Esteban; Francisco J. Rodríguez Lera; Camino Fernández. 2020. "Collecting Vulnerable Source Code from Open-Source Repositories for Dataset Generation." Applied Sciences 10, no. 4: 1270.
Context awareness in ambient assisted living programmes for the elderly is a cornerstone in the current scenario of noncustomized service robots distributed around the world. This research proposes a context‐awareness system for a human–robot scene interpretation based on seven primary contexts and the American Occupational Therapy Association. The context‐awareness system defined here proposes an inference mechanism for the activity recognition supported on hierarchical Bayesian networks. However, when the information from sensors increases, the computational cost associated also increases. Thus, an evaluation of different Bayesian network models is necessary for decreasing its impact over the robot performance. Two topological models have been modelled and tested using OpenMarkov application: a two‐level approach of an input–observations layer and the activity recognition layer, and a three‐layer model setting apart a primary contexts layer, the input–observations layer, and the activity recognition layer. The qualitative and quantitative results presented here show better performance in terms of memory and memory in a three‐layer model. Besides, its effect on a hybrid architecture of a robotic platform is presented.
Francisco J. Rodriguez Lera; Francisco Martín Rico; Angel Manuel Guerrero Higueras; Vicente Matellán Olivera. A context‐awareness model for activity recognition in robot‐assisted scenarios. Expert Systems 2019, 37, 1 .
AMA StyleFrancisco J. Rodriguez Lera, Francisco Martín Rico, Angel Manuel Guerrero Higueras, Vicente Matellán Olivera. A context‐awareness model for activity recognition in robot‐assisted scenarios. Expert Systems. 2019; 37 (2):1.
Chicago/Turabian StyleFrancisco J. Rodriguez Lera; Francisco Martín Rico; Angel Manuel Guerrero Higueras; Vicente Matellán Olivera. 2019. "A context‐awareness model for activity recognition in robot‐assisted scenarios." Expert Systems 37, no. 2: 1.
Robots have begun to populate the everyday environments of human beings. These social robots must perform their tasks without disturbing the people with whom they share their environment. This paper proposes a navigation algorithm for robots that is acceptable to people. Robots will detect the personal areas of humans, to carry out their tasks, generating navigation routes that have less impact on human activities. The main novelty of this work is that the robot will perceive the moods of people to adjust the size of proxemic areas. This work will contribute to making the presence of robots in human-populated environments more acceptable. As a result, we have integrated this approach into a cognitive architecture designed to perform tasks in human-populated environments. The paper provides quantitative experimental results in two scenarios: controlled, including social navigation metrics in comparison with a traditional navigation method, and non-controlled, in robotic competitions where different studies of social robotics are measured.
Jonatan Ginés; Francisco Martín; David Vargas; Francisco J. Rodríguez; Vicente Matellán. Social Navigation in a Cognitive Architecture Using Dynamic Proxemic Zones. Sensors 2019, 19, 5189 .
AMA StyleJonatan Ginés, Francisco Martín, David Vargas, Francisco J. Rodríguez, Vicente Matellán. Social Navigation in a Cognitive Architecture Using Dynamic Proxemic Zones. Sensors. 2019; 19 (23):5189.
Chicago/Turabian StyleJonatan Ginés; Francisco Martín; David Vargas; Francisco J. Rodríguez; Vicente Matellán. 2019. "Social Navigation in a Cognitive Architecture Using Dynamic Proxemic Zones." Sensors 19, no. 23: 5189.
Francisco J. Rodriguez Lera. Diseño, construcción, y validación de una plataforma robótica asistencial, social y de servicios basada en realidad aumentada = Design, fabrication, and validation of a socially assistive robot based on augmented reality. 2019, 1 .
AMA StyleFrancisco J. Rodriguez Lera. Diseño, construcción, y validación de una plataforma robótica asistencial, social y de servicios basada en realidad aumentada = Design, fabrication, and validation of a socially assistive robot based on augmented reality. . 2019; ():1.
Chicago/Turabian StyleFrancisco J. Rodriguez Lera. 2019. "Diseño, construcción, y validación de una plataforma robótica asistencial, social y de servicios basada en realidad aumentada = Design, fabrication, and validation of a socially assistive robot based on augmented reality." , no. : 1.
Understanding why a particular robot behavior was triggered is a cornerstone for having human-acceptable social robots. Thus, every robot action should be explained in order to audit, recognize, and control expected and unexpected behaviors using usual sources of information provided by robot software components. Enabling intelligibility goes through a correct translation of system logs. This paper presents an initial approach for arranging low-level knowledge extracted from logs available in the de facto standard for service robotics ROS in order to be useful for developers and regulators.
Francisco Javier Rodríguez-Lera; Ángel Manuel Guerrero-Higueras; Francisco Martín-Rico; Jonathan Gines; Juan Felipe García Sierra; Vicente Matellán-Olivera. Adapting ROS Logs to Facilitate Transparency and Accountability in Service Robotics. Advances in Intelligent Systems and Computing 2019, 587 -598.
AMA StyleFrancisco Javier Rodríguez-Lera, Ángel Manuel Guerrero-Higueras, Francisco Martín-Rico, Jonathan Gines, Juan Felipe García Sierra, Vicente Matellán-Olivera. Adapting ROS Logs to Facilitate Transparency and Accountability in Service Robotics. Advances in Intelligent Systems and Computing. 2019; ():587-598.
Chicago/Turabian StyleFrancisco Javier Rodríguez-Lera; Ángel Manuel Guerrero-Higueras; Francisco Martín-Rico; Jonathan Gines; Juan Felipe García Sierra; Vicente Matellán-Olivera. 2019. "Adapting ROS Logs to Facilitate Transparency and Accountability in Service Robotics." Advances in Intelligent Systems and Computing , no. : 587-598.
The tracking of people is an indispensable capacity in almost any robotic application. A relevant case is the @home robotic competitions, where the service robots have to demonstrate that they possess certain skills that allow them to interact with the environment and the people who occupy it; for example, receiving the people who knock at the door and attending them as appropriate. Many of these skills are based on the ability to detect and track a person. It is a challenging problem, particularly when implemented using low-definition sensors, such as Laser Imaging Detection and Ranging (LIDAR) sensors, in environments where there are several people interacting. This work describes a solution based on a single LIDAR sensor to maintain a continuous identification of a person in time and space. The system described is based on the People Tracker package, aka PeTra, which uses a convolutional neural network to identify person legs in complex environments. A new feature has been included within the system to correlate over time the people location estimates by using a Kalman filter. To validate the solution, a set of experiments have been carried out in a test environment certified by the European Robotic League.
Claudia Álvarez-Aparicio; Ángel Manuel Guerrero-Higueras; Francisco Javier Rodríguez-Lera; Jonatan Gines Clavero; Francisco Martín Rico; Vicente Matellán. People Detection and Tracking Using LIDAR Sensors. Robotics 2019, 8, 75 .
AMA StyleClaudia Álvarez-Aparicio, Ángel Manuel Guerrero-Higueras, Francisco Javier Rodríguez-Lera, Jonatan Gines Clavero, Francisco Martín Rico, Vicente Matellán. People Detection and Tracking Using LIDAR Sensors. Robotics. 2019; 8 (3):75.
Chicago/Turabian StyleClaudia Álvarez-Aparicio; Ángel Manuel Guerrero-Higueras; Francisco Javier Rodríguez-Lera; Jonatan Gines Clavero; Francisco Martín Rico; Vicente Matellán. 2019. "People Detection and Tracking Using LIDAR Sensors." Robotics 8, no. 3: 75.
In our present professional and educational contexts one of the key competences to assess is the teamwork competence. However, this require not only to explore the development of the competence by a group but how it is acquired by each of its members. In order to do so it is necessary to analyze several issues and one of the most relevant is students’ interaction. The problem is that the tools that students employ to interact in their learning context are not those that they use in their daily life. That’s why it is necessary to explore the students’ interaction that happens through instant messaging tools, and the most popular is WhatsApp. This paper explores the problem of analyzing WhatsApp messages and how to compile these evidences in such a way that they can be explored through a learning analytics tool. The implementation shows that the use of WhatsApp messages is possible but requires to take into account other issues such as how to manage interoperability and how to deal with user sensitive information.
Miguel Á. Conde; Francisco J. Rodríguez-Sedano; Francisco J. Rodríguez-Lera; Alexis Gutiérrez-Fernández; Ángel M. Guerrero-Higueras. Analyzing Students’ WhatsApp Messages to Evaluate the Individual Acquisition of Teamwork Competence. Transactions on Petri Nets and Other Models of Concurrency XV 2019, 26 -36.
AMA StyleMiguel Á. Conde, Francisco J. Rodríguez-Sedano, Francisco J. Rodríguez-Lera, Alexis Gutiérrez-Fernández, Ángel M. Guerrero-Higueras. Analyzing Students’ WhatsApp Messages to Evaluate the Individual Acquisition of Teamwork Competence. Transactions on Petri Nets and Other Models of Concurrency XV. 2019; ():26-36.
Chicago/Turabian StyleMiguel Á. Conde; Francisco J. Rodríguez-Sedano; Francisco J. Rodríguez-Lera; Alexis Gutiérrez-Fernández; Ángel M. Guerrero-Higueras. 2019. "Analyzing Students’ WhatsApp Messages to Evaluate the Individual Acquisition of Teamwork Competence." Transactions on Petri Nets and Other Models of Concurrency XV , no. : 26-36.
Mobile robots need to know their position in the environment to perform complex tasks. Self-localization methods for indoor environments usually reduce sensory information to two dimensions in order to accelerate calculations, instead of taking advantage of the three-dimensional (3D) features. This paper proposes a computationally affordable probabilistic self-localization method that takes full advantage of the capacities of RGB-D sensors, particularly, using 3D dimensions and color. We use an a priori known map, previously built, that keeps the information of the environment’s structure and color. Storing this data allows to reduce symmetries caused by 2D and colorless simplification. Our approach is based on Monte Carlo algorithm, where hypothesis population varies dynamically to adapt itself to the existing conditions at any given time, which makes it more efficient in 3D information management.
F. Martín; V. Matellán; F.J. Rodríguez; J. Ginés. Octree-based localization using RGB-D data for indoor robots. Engineering Applications of Artificial Intelligence 2018, 77, 177 -185.
AMA StyleF. Martín, V. Matellán, F.J. Rodríguez, J. Ginés. Octree-based localization using RGB-D data for indoor robots. Engineering Applications of Artificial Intelligence. 2018; 77 ():177-185.
Chicago/Turabian StyleF. Martín; V. Matellán; F.J. Rodríguez; J. Ginés. 2018. "Octree-based localization using RGB-D data for indoor robots." Engineering Applications of Artificial Intelligence 77, no. : 177-185.