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Research Projects The research projects detailed here have been developed by the ARVC laboratory, and in some case in colaboration with other research groups and enterprises. |
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Research Projects AViRobots Title: Development of an intelligent surveillance and security infrastructure system based on mobile robots Funded by: AVI (Agència Valenciana de la Innovació) Duration: 01/2023 - 12/2025 Description: The project focuses on the use of terrestrial mobile robots for the surveillance of indoor and outdoor environments, access control and people identification. It is proposed the realization of technological developments that digitize and automate the tasks of surveillance of buildings and infrastructures by means of mobile robots aided by artificial intelligence techniques. The project considers the development of a complete surveillance system that will integrate: a set of intelligent mobile robots equipped with sensors, a human-machine interface software system that will allow efficient interaction between operators and robots and, finally, a wireless communications system that will allow the exchange of information in the system. Keywords: Mobile robots, visual perception, multisensory fusion, infrastructure surveillance Head Researcher: Arturo Gil, Luis Payá HyReBot Title: Hybrid Robots and Multisensory Reconstruction for Applications in Lattice Structures (HyReBot) Funded by: Ministerio de Ciencia e Innovación Duration: 09/2021 - 08/2024 Description: The use of reticular structures, which are composed of a number of beams or bars closely intertwined, is widespread nowadays in the construction of all types of fastening and support components for different infrastructures. They are especially indicated in metal bridges but also in roofs of hangars and spacious industrial buildings. They are generally formed by a set of highly interlinked and interconnected bars, joined together by nodes (either rigid or articulated), forming a three-dimensional structural mesh. The execution of both inspection and maintenance tasks on this type of reticular structures is especially challenging owing to (a) the access problems because of the high interconnection of the bars through the nodes and (b) the complexity of going through paths that permit moving from one starting point to a target point while traversing these structural nodes. Keywords: Hybrid robots, visual perception, sensor fusion, reticular structures Head Researcher: L. Payá, O. Reinoso PROMETEO2021 Title: Towards Further Integration of Intelligent Robots in Society: Navigate, Recognize and Manipulate Funded by: GENERALITAT VALENCIANA Duration: 01/2021 - 12/2024 Description:
In recent years, the number of robots used to perform tasks autonomously in multiple fields and sectors has gradually increased. Today, we can find robots performing repetitive tasks in controlled environments, addressing complex and sometimes dangerous tasks. However, having robots perform tasks in uncontrolled environments with the presence of objects and moving elements (such as people and other robots) and requiring the need to move between different points in the scene presents notable challenges that need to be addressed to enable greater integration of robots in such scenarios.
This research project aims to tackle activities within this scope in three specific lines: navigation, recognition, and manipulation, in order to advance the integration of robots and the performance of tasks in these environments. On one hand, it is necessary to consider the presence of humans in these social environments, as their possible movements and behavior will affect how robots should move and, ultimately, navigate within these scenarios. Additionally, there is a need to advance in the tasks of environment recognition, identifying the scenarios to make the localization of robots within them more robust and precise. Finally, the problem of object manipulation by these robots will be addressed, considering both the flexibility in shape and the deformability of these objects.
Project PROMETEO 075/2021 is funded by the Consellería de Innovación, Universidades, Ciencia y Sociedad Digital de la Generalitat Valenciana Head Researcher: Oscar Reinoso TED2021 Title: Development of intelligent mobile technologies to address security tasks and surveillance indoors and outdoors Funded by: Agencia Estatal de Investigación. Ministerio de Ciencia e Innovación Duration: 12/2022 - 11/2024 Description: This project proposes using mobile robots and machine learning technologies to carry out surveillance and security tasks in indoor and outdoor environments. During the course of the project, it is expected to generate scientific knowledge and carry out technological developments that digitize and automate the tasks of surveillance of buildings, infrastructures and industry. Such developments are expected to have potential of technology transfer to security companies, State security forces and emergency units. Keywords: Mobile robot, computer vision, image processing, sensor fusion, robot navigation, deep learning Head Researcher: A. Gil, L. Payá IA-GAMMAPATIA Title: Análisis inicial de herramientas de IA para la predicción de la malignización de las gammapatías de significado incierto a mieloma múltiple u otras patologías linfoproliferativas Funded by: Generalitat Valenciana Duration: 01/2023 - 12/2023 Description: Existe el riesgo de progresión de pacientes con gammapatía monoclonal de significado incierto a Mieloma Múltiple. Aunque se conocen clasificaciones basadas en el riesgo de evolución a cáncer, hay que realizar controles médicos de por vida para detectar la evolución hacia la malignización de las gammapatías. Se explorarán los datos existentes y se realizará un análisis inicial del funcionamiento de diversas herramientas de IA, para establecer la capacidad de predicción de cada una de ellas. Head Researcher: L. Payá SubActuatedRobots Title: Securing manipulator robots with free-swinging joint failures by extinguishing their uncontrolled self-movements Funded by: CONSELLERIA DE INNOVACIÓN, UNIVERSIDADES, CIENCIA Y SOCIEDAD DIGITAL Duration: 1/1/22-31/12/23 Description: Keywords: Parallel robot, underactuated, redundant, self-moving varieties, free swing failure, torque failure Head Researcher: Adrián Peidró RETIC Title: Planning of robotic movements in metallic structures Funded by: Universidad Miguel Hernández de Elche Duration: 01/01/2021 - 31/12/2022 Description:
Nowadays, we encounter three-dimensional metallic lattice structures in numerous artificial constructions, such as stadiums, high-voltage or telecommunications towers, airports, construction sites, pipeline networks in refineries, nuclear power plants, and aerospace constructions. These structures, composed of interconnected bars forming genuine metallic networks, require periodic inspection and maintenance to preserve their good condition and functionality and to prevent their structural stability from being compromised by deterioration. Examples of the required tasks include coating the metallic bars of the structure with protective paints to prevent corrosion, non-destructive inspection to detect possible cracks and welding defects, and tightening threaded joints, among others.
Traditionally, these tasks have been performed by human operators who, equipped with safety mechanisms such as harnesses, have to climb the structure and carry out the aforementioned operations. Despite the possible safety measures that can be adopted, performing these operations is dangerous for humans, who are subjected to significant safety and health risks. In order to avoid these dangers to human operators, the possibility of performing these hazardous tasks at height using robots (autonomous or teleoperated) has been pursued over the past three decades. In this project, the objective is to plan movements that a hybrid robot can perform so that it can navigate through these structures and pass through the structural nodes, attaching itself appropriately to carry out inspection and maintenance tasks. Head Researcher: Oscar Reinoso Garcia ModRet Title: Recognition and modeling of lattice structures (ModRet) Funded by: Universidad Miguel Hernández de Elche Duration: 2 años Description:
The project focuses on the creation of models of lattice structures. These types of structures are found in numerous constructions and require continuous maintenance. This maintenance can be automated using a mobile robot capable of moving through the structure. However, to undertake this task, the robot must have a model of the structure that allows it to know its position and plan the appropriate trajectory and sequence of movements to reach the target point. To create this model, the robot will collect information as it moves along the structure for the first time, using its equipped sensors (primarily omnidirectional vision systems).
Modeling these types of structures presents several differential aspects compared to other environments, such as their symmetry and the presence of repetitive visual structures, the wide variety of viewpoints from which they can be observed depending on the robot's trajectory, and the changes their appearance may undergo due to repairs carried out by the robot. Considering these characteristics, the model will be given a hierarchical structure, with a high-level layer containing information about the topology of the structure, and one or more low-level layers with data about the bars and nodes, such as their shape, width, planes that compose the bars, and node topology. Artificial intelligence and deep learning techniques will be used for scene description and extraction of relevant information. These tools will separate the information surrounding the structure and its conditions (such as lighting conditions) from the information of the lattice surrounding the robot (bars and nodes). Additionally, algorithms will be implemented for incremental model creation, updating it as the robot advances and captures new information about the structure. Head Researcher: L. Payá TorqFailRob Title: Control of parallel robots that have suffered torque failure Funded by: Universidad Miguel Hernández, Vdo. de Investigación Duration: 1/1/22-31/12/22 Description: Keywords: variety of self-motion, parallel, underactuated robot Head Researcher: Adrián Peidró ParallelRobots Title: Design and study of computational torque regulators for traversing singularities in parallel robots Funded by: CONSELLERIA DE INNOVACIÓN, UNIVERSIDADES, CIENCIA Y SOCIEDAD DIGITAL, Generalitat Valenciana Duration: 01/01/2021-31/12/2021 Description:
Parallel robots control the movement of their end-effector or gripper through multiple kinematic chains connected in parallel, forming closed kinematic chains. This provides them with greater structural rigidity and dynamic performance, but it also limits their workspace and divides it into different regions separated by parallel-type singularities (also known as type 2 singularities) that do not exist in serial or open kinematic chain robots. When the robot crosses one of these singularities, it is not possible to control the movement of its end-effector in any arbitrary direction, requiring infinitely large actuation torques in the actuators. This makes it difficult to cross such singularities to fully utilize the robot's workspace.
In previous works, other researchers have avoided the divergence of actuation torques by designing the end-effector's trajectory so that, when crossing the singularity, the robot's dynamic model does not degenerate, satisfying a non-degeneration condition derived by other researchers in the past. The drawback is that the trajectory used to cross the singularity cannot be arbitrary; it must be designed to meet the mentioned non-degeneration condition.
In this project, we propose the design of new Computed-Torque Control laws that allow crossing the mentioned parallel singularities while avoiding the divergence of the actuation torques, so that they remain finite during the crossing of the singularity, and additionally avoiding the need to design the trajectory to achieve this, thus allowing arbitrary trajectories. To achieve this in the present project, we propose considering the small modeling errors that always occur when modeling the dynamics of the robot to be controlled. These small errors cause the tracking of the desired trajectory to be imperfect, which provides some margin to meet the non-degeneration condition simply by adjusting the proportional and derivative gains of the regulator, leaving the trajectory completely free. The proposed control will be tested in this project through simulation with example parallel robots, and also through testing on real parallel robots.
Project funded by the Department of Innovation, Universities, Science, and Digital Society of the Generalitat Valenciana. Keywords: parallel robot, singularity, computational torque control Head Researcher: Adrián Peidró EMERG2020 Title: Scene Reconstruction from Omnidirectional Cameras Using Visual Appearance Techniques and Deep Learning Funded by: Generalitat Valenciana Duration: 01/2020 - 12/2020 Description:
Keywords: Deep learning, scene reconstruction, localization, omnidirectional vision Head Researcher: M. Ballesta AICO2019 Title: Hierarchical model creation and robust localization of mobile robots in social environments Funded by: Generalitat Valenciana Duration: 01/01/2019 a 31/12/2020 Description: The project focuses on the field of map construction and localization using omnidirectional vision, advancing towards a hybrid topological-metric paradigm, which allows (a) the incremental construction of a semantic map as the robot explores the unknown environment and (b) the estimation of the robot's position and orientation with precision, with 6 degrees of freedom and at a reasonable computational cost. Additionally, to improve the integration of the mobile robot in real social environments, where it must interact with people, some features will be included in the model to make it compatible with human perception. Thus, the proposal aims to go beyond the concept of multi-level hierarchical localization, adapting it to extensive and complex social environments, and including collaboration with users through high-level commands. This proposal is organized around two main lines of research:
Keywords: Mobile robot; omnidirectional vision; hybrid map; hierarchical localization; social environments Head Researcher: L. Payá OMMNI-SLAM Title: Map Building by Means of Appearance Visual Systems for Robot Navigation Funded by: CICYT Ministerio de Ciencia e Innovación Duration: 01/01/2017 al 31/12/2019 Description: In order to be truly autonomous, a mobile robot should be capable of navigating through any kind of environment while carrying out a task. In order to do that it is considered necessary that the robot possesses the ability to create a model of its workspace that allows to estimate its position inside it and navigate along a trajectory. Keywords: Mobile robots, autonomous navigation, computer vision, omnidirectional systems Head Researcher: L. Payá, O. Reinoso BinaryRobot Title: Design and development of a hybrid structure robot with binary-operated hydraulic actuators. Funded by: Generalitat Valenciana Duration: Del 01/01/2018 al 31/12/2019 Description:
Steel structures require inspection, maintenance, and repair tasks to ensure their proper functioning, stability, structural integrity, longevity, and aesthetic quality. Such structures are present in numerous constructions such as bridges, ports, airports, telecommunications towers, stadiums, power lines, power plants, and industrial plants, as well as forming part of the framework of most buildings. Typically, the maintenance tasks for these vertical structures are performed by human operators who must climb the structures to carry out these tasks, subjecting them to serious risks, including falling from considerable heights or electrocution. To avoid exposing human operators to such risks, for the past couple of decades, numerous researchers worldwide have been studying the possibility of using climbing robots to perform these dangerous tasks at height.
The main objective we propose in this project is to develop a new articulated climbing robot for the exploration and maintenance of vertical steel structures, with the ability to move in three-dimensional space. The main innovation of the robot to be developed in this project, compared to other climbing robots developed to date, is that the proposed robot will have binary actuation (all-or-nothing actuators), which greatly simplifies the planning and control of its movements. Additionally, the robot to be developed will have a moderately high degree of kinematic redundancy (between 10 and 12 degrees of freedom), allowing it to enjoy sufficiently high mobility to explore three-dimensional structures despite having only binary actuators. In this way, by combining binary actuation and kinematic redundancy, we aim to achieve a balance between simplicity and freedom of movement, thereby addressing the main complexity issues that currently prevent climbing robots from being used more extensively. Keywords: climbing robot, binary operation Head Researcher: M. Ballesta NAVICOM Title: Robotic Navigation in Dynamic Environments by means of Compact Maps with Global Appearance Visual Information Funded by: CICYT Ministerio de Ciencia e Innovación Duration: 01/09/2014 al 31/05/2017 Description: Carrying out a task by a team of mobile robots that move across an unknown environment is one of the open research lines with a higher scope for a large development in the mid-term. In order to accomplish this task it has been proved necessary to possess a highly detailed map of the environment that will allow the localization of the robots as they execute a particular task. During the last years the proposer research team has worked with remarkable results in the field of SLAM (Simultaneous Localization and Mapping) with teams of mobile robots. The work has considered the use of robots equipped with cameras and the inclusion of the visual information gathered in order to build map models. So far, different kind of maps have been built, including metric maps based on visual landmarks, as well as topological maps base on global appearance-based information extracted from images. Keywords: Mobile Robots, Visual Maps, Topological and Compact Navigation, Visual SLAM Head Researcher: A. Gil, O. Reinoso AICO-SLAM Title: Localization and Visual Map Creation for Robot Navigation with 6 DOF Funded by: Generalitat Valenciana Duration: Enero 2015 - Dic 2016 Description: Keywords: Visual SLAM, Robotics Head Researcher: L.M. Jiménez VISTOPMAP Title: Topological mapping using the global appearance of a set of images Funded by: Generalitat Valenciana Duration: 01/01/2015 - 31/12/2016 Description:
When a mobile robot performs a task within a given environment, it needs to have some knowledge of that environment to effectively carry out the task. Generally, the environments in which robots operate are unstructured, complex, and changing. Thus, it is crucial to create models of these environments based on the information and observations captured by the robots within them to ensure effective localization. This is the focus of the project proposal.
The main objective we propose is to solve the problem of creating maps of an unknown environment, using the information provided by a vision system installed on the robot exploring the environment. The traditional approach to solving such problems involves extracting local features from scenes and creating metric maps in which the robot's position can be estimated relative to a global reference system, with an associated error. In contrast to this approach, we propose using the global appearance information of scenes to create topological maps, which contain information about the locations that make up the environment and the connectivity relationships between them. These are more recent and computationally efficient alternatives that, however, require in-depth study in tasks of creating robust maps of extensive and dynamically characteristic environments. Keywords: Omnidirectional vision, global appearance, topological map, hierarchical localization Head Researcher: L. Payá VISCOBOT II Title: Integrated Exploration of Enviroments by means of Cooperative Robots in order to build 3D Visual and Topological Maps intended for 6 DOF Navigation Funded by: CICYT Ministerio de Ciencia e Innovación Duration: 01/01/2011 al 31/12/2013 Description: While a group of mobile robots carry out a task, they need to find their location within the environment. In consequence a precise map of a general and undetermined environment has to be known by the robots. During the last decade a series of methods have been developed that allow the construction of the map by a mobile robot. These algorithms consider the case in which the vehicle moves along the environment, constructs the map while, simultaneously, computes its location within the map. As a result, this problem has been named Simultaneous Localization and Mapping (SLAM). This research project focusses thus on the construction of visual maps in 3D general unknown environments by using a team of mobile robots equipped with vision sensors. In this sense, we propose to undertake, among others, the following lines: 6 DOF cooperative visual SLAM, in which the robots move following general trajectories in the environment (with 6 degrees of freedom) instead of the classical trajectories in which it is assumed that the robots navigates on a two-dimensional plane; integrated exploration, where the exploration paths of the robots consider to maximize the knowledge of the environment and, at the same time, take into account the uncertainty in the maps created by the robot(s); map alginment and map fusion of local maps created by different robots; and finally, the creation of maps using the information based in the visual appearance that allows the construction of high-level topological maps. Keywords: Robotics, Visual SLAM, Cooperative Exploration Head Researcher: O. Reinoso VISCOBOT: Percepction Title: Cooperative Mobile Visual Perception Systems as support for tasks performed by means Robot Networks Funded by: CICYT Ministerio de Ciencia e Innovación Duration: 1/10/2007 - 30/09/2010 Description: Performing tasks in a coordinated manner by means of a team of robots is a topic of great interest and allows to improve the results compared to the single-robot case. The current research project focuses on this particular field and proposes the need to use different vision systems distributed along the mobile agent network that gather a precise and complete description of the environment. To cope with the proposed goals it will be necessary to tackle with different research lines, in consequence, we are working on the following subjects: Cooperative map building and localization using particle filters, Visual landmark modelling: Improving data association in visual SLAM, development of cooperative exploration strategies using the information provided by each robot, cooperative reconstruction of environments using appearance based methods. Keywords: Robots Cooperativos, SLAM visual, Exploración cooperativa, Reconstrucción basada en apariencia Head Researcher: O. Reinoso Cooperative Robotics Title: Collaborative Teleoperation Tools. Application to cooperative robot control Funded by: CICYT Ministerio de Educación y Ciencia Duration: 12/2004 - 11/2007 Description: The present project is devoted to the development of advanced teleoperation tools focused in three main goals: a collaborative control scheme allowing one or more users to participate in the execution of tasks; cooperative control techniques for multiple robots so that they work simultaneously and helping each other; and a general, non-structured environment where there may be several moving objects whose dynamics may affect the execution of the task. Research is performed in several technological areas in order to cover the project objectives. The following developments are proposed: efficient dialog techniques between users, between robots and between both agents; cooperative control strategies, both generic and adapted to particular test-bed tasks; sensor fusion techniques in charge of the management of the data provided by the different sensors and the users; 3D scene recognition from the data acquired by each robot from a different point of view; and visual control to adapt the robot movements to the changing environment. Keywords: cooperative robots, collaborative control, teleoperation Head Researcher: O. Reinoso Aidico-DISCO Title: Study and analysis of disc-based cutting of natural stone by means monitoring the process Funded by: Generalitat Valenciana Duration: 1/1/2004 - 31/12/2005 Keywords: Stone Cutting Head Researcher: O. Reinoso ATTEND Title: Modelling of Virtual enviroments for training in teleoperated systems for dynamic enviroments Funded by: CICYT Ministerio de Educación y Ciencia Duration: 28/12/2001 - 27/12/2004 Description: This research project is a continuation of a previous one (Automatic and Remote-Control Architectures Learning Systems) in which diverse tools were developed that let carry out tasks in a remote environment by means of advanced interfaces incorporation. From the designed architecture in the previous project, we have developed in the current one new research lines which focus on dynamic virtual environments incorporation to remote-control systems with the purpose that the operator can simulate the resultant effect of realise an specific action on the dynamic environment, before these actions really carry out in the remote environment. Keywords: Teleoperation, robotics, learning, haptics, visual control Head Researcher: O. Reinoso AYILTH Title: Multiaxial test system fort area yield improvement in the fabrication of leather, enhancing leather characteristics and diminishing enviromental impact Funded by: U.E.CRAFT- Programa GROWTH Duration: 8/2001 - 7/2003 Description: The goals of this project are Development of an appropriate mechanical device for stretching the leather and a watertight container, to carry out the thermal treatments and trials in order to determine the conditions of the water thermal treatment that gives maximum area yield (in many cases higher than 10%) on standard leather fabrication. Keywords: Test, leather manufacturing Head Researcher: L.M. Jiménez TREPA: Palmtree Climbing Teleoperated Robot Title: Climbing robot for plamtree and cilyndrical structures maintenance Funded by: CICYT Ministerio de Educación y Ciencia Duration: 1/1/2000 - 31/12/2001 Description: This project proposes the application of parallel plataforms as climbing robots, considering the great load capacity these mechanic structures own and the flexibility to evolve in a tight work space. A theoretical framework of analysis of kinematics and dynamics of this sort of robotic structures has been studied, and its applications as climbing robots. Keywords: Teleoperation, robotics, learning, haptics, visual control Head Researcher: O. Reinoso Teleoperated Robot Control Title: Automatic Learning systems in control architectures for Teleoperation Funded by: CICYT Ministerio de Educación y Ciencia Duration: 11/1998 - 12/2000 Description: This project proposes the development of a teleoperated system with a high degree of automatization which learns tasks previously done by an operator. The need of learning of task capabilities shows up from the consideration of operation in non-structured and unknown environments. In this way, in the first stage, will be the operator who shows the way a remote task must be done, and afterwards, the system must learn the specific relations that define such execution in order to repeat that task in similar conditions. Keywords: Teleoperation, robotics, learning, computer vision Head Researcher: O. Reinoso Automatic Finishing System Title: Robot application for automatic finishing of plastic injection products Funded by: IMPIVA - en colaboración con INESCOOP Duration: 9/1998 - 9/1999 Description: The process of shot casting generates remains (curls) caused by the division among tools that affect the final quality of the manufactured product. After this process is necessary to continue with a trimming that eliminates these previously generated remains. So, we use a robotized arm with visual sensors that makes the suitable treatment for the different tools in production possible. Keywords: Robotics Head Researcher: O. Reinoso Subpixel Image Procesing for Border Detection Title: Simulation Techniques for Resolution Enhancement in Digital Images with Pronounced Edges Funded by: Generalitat Valenciana Duration: 1/1/1999 - 31/12/1999 Description: One of the main problems in artificial vision is the need to increase the spatial resolution of the object images that are studied. We propose a system which is enable to detect zones of interest for the analysis inside an image and to increase the resolution in such areas. Keywords: Computer vision, Subpixel Head Researcher: O. Reinoso Technical Assistance RemoteRoboticsLab Title: Convenio de Colaboración para el desarrollo del proyecto "Hacia la formación práctica ubicua y digital en robótica mediante laboratorios remotos” Funded by: Centro de Inteligencia Digital de la Provincia de Alicante (CENID) Duration: 6 meses (abril 2022 - octubre 2022) Description: Este proyecto pretende desarrollar un laboratorio remoto, que consiste en una plataforma ciberfísica que permite al estudiantado de carreras técnicas conectarse a robots de forma remota, para hacer prácticas de laboratorio y experimentos con dichos robots, a través de Internet. Esto permitirá dotar al estudiantado de mayor flexibilidad espacial y temporal, permitiéndoles hacer prácticas de laboratorio de forma ubicua, sin limitarlos a tener que desplazarse a un laboratorio físico para realizar las prácticas únicamente en las horas en las que el acceso a dicho laboratorio está habilitado. El estudiantado se conectará a los robots reales a través de un servidor web y, a través de una interfaz, podrá comandar movimientos o experimentos para realizar con los robots remotos. El movimiento de los robots se mostrará a través de una webcam en tiempo real, y también se devolverá información relativa a los resultados del experimento remoto, información que será captada mediante sensores de posición, velocidad, y fuerza, colocados en el robot real. Los robots remotos que se implementarán para hacer prácticas a distancia serán de tipo paralelo o de cadena cinemática cerrada, ya que éstos disponen de mayor riqueza que los robots tradicionales de cadena cinemática serie, a la hora de ser estudiados en asignaturas de control y robótica. Keywords: Robot paralelo, laboratorio remoto, prácticas de laboratorio, identificación, control Head Researcher: Adrián Peidró abionica1.20T Title: Desarrollo de algoritmos de detección y seguimiento de marcas visuales artificiales para la navegación de drones en tareas de inspección de grandes terrenos Funded by: ABIONICA SOLUTIONS S.L. Duration: 11/2020 - 04/2021 Head Researcher: A. Gil abionica1.21T Title: Empleo de algoritmos para conciencia situacional en vuelo mediante visión artificial Funded by: Abionica Solutions S.L. Duration: 05/2021 - 11/2021 Head Researcher: A. Gil ACN2020 Title: Aplicación de sistemas de visión artificial para el desarrollo de entornos de realidad aumentada y análisis estadístico de datos metrológicos Funded by: AUTOMATICA Y CONTROL NUMÉRICO, S.L. Duration: 2020 Head Researcher: O. Reinoso Tonalidad de Pieles Title: Desarrollo de un software para la detección y medición de los diferentes tonos de piel Funded by: PIES CUADRADOS LEATHER S.L. Duration: 2019 - 2020 Description: El objetivo de esta propuesta es el estudio, desarrollo e implementación de un sistema de clasificación mediante visión por computador de la tonalidad de piezas de cuero teñido atendiendo a la apariencia visual del tono de la piel. Head Researcher: O. Reinoso QBot Title: Contrato de desarrollo de software Funded by: Q-BOT LIMITED Duration: 2016 Head Researcher: O. Reinoso IXION1 Title: Contrato para la realización de los trabajos de desarrollo experimental que forman parte del Proyecto presentado al Plan Avanza2 de título "iCOPILOT Asistente inteligente a la conducción" Funded by: IXION INDUSTRY AND AEROSPACE, S.L. Duration: 2014 Head Researcher: O. Reinoso IXION2 Title: Contrato para la realización de los trabajos de desarrollo experimental que forman parte del proyecto presentado al Plan Avanza2 de título "SUPVERT Vehículo Autónomo Aéreo para Inspección de estructuras Verticales" Funded by: IXION INDUSTRY AND AEROSPACE S.L. Duration: 2014 Head Researcher: O. Reinoso GRASS: Artificial Grass Pavements Title: Criteria generation for the development of damping bases applied to artificial grass floorings Funded by: Euro Grass 2002 S.L. Duration: 2009 Head Researcher: O. Reinoso Essay A&CN (I) Title: Development of an acquisition system for impact absorption and deformation essays covering normative UNE 4158 IN Funded by: Automatica & Control Numérico (A&CN) Duration: 1/2007 - 1/2008 Head Researcher: O. Reinoso Essay A&CN (II) Title: Analysis and deployment of a Mechanical System or Sporting Pavement covering normative UNE 4158 IN Funded by: Automática & Control Numérico (A&CN) Duration: 4/2007 - 1/2008 Head Researcher: O. Reinoso PICUDO Title: Computer Vision System for tracking and recording of Rhynchophorus Ferrugineus Funded by: Ayuntamiento de Elche - Estación PHOENIX Duration: 4/2006 - 7/2007 Description: The goal of this project is to design and build a visual recording system that allows studying the behaviour of Rhynchophorus ferrugineus in the proximity of palm trees and traps. The system is designed to work in extreme conditions of humidity and lighting, night and day. The system includes a computer vision detector in order to perform automated recordings. Keywords: Computer Vision, Surveyance Head Researcher: O. Reinoso MetaleX Title: Design and implementation of electronic search system for normative in the metal sector: "Metalex" Funded by: FEMPA Duration: 2006 - 2007 Description: Contrato para actividades de apoyo tecnológico entre la Universidad Miguel Hernández y la Federación de Empresarios del Metal de la Provincia de Alicante (FEMPA) para el diseño e implementación de buscador electrónico de normativa en el sector del metal: "MetaleX" Keywords: metalex, fempa Head Researcher: D. Ubeda Inter-Univesity Collaboration Projects AutomatL@bs Title: AutomatL@bs: remote laboratory network for education in Control Theory Funded by: Red E-Automatica CICYT Duration: 2007 - 2009 Description: The AutomatL@bs project is a network of virtual and remote laboratories for teaching and learning of control engineering. It is based on the integration of the hardware/software/human resources provided for the university groups taking part into this project. Shortly, AutomatL@bs provides to students two elements: web-based tools for booking time-slots in order to carry on the practical experiences and a working environment purposefully designed to ease the learning process. However, the network of remote laboratories in control engineering, AutomatL@bs, is not only the sum of its parts but it must be appreciated as a laboratory with a uniform structure regardless where the location of the physical processes is. To work in AutomatL@bs, all that a student needs is a Java-enabled browser and to be registered into the system. So, AutomatL@bs must not be considered just the simple juxtaposition of the different remote laboratories of each university taking part into the project. All the laboratories share a common working scheme and the learning materials have been carefully designed to allow students make the practical experiences in an autonomous way at their own pace. The project is coordinated by Professor Sebastian Dormido Bencomo of the Department of Computer Science and Automatic Control of the Spanish University of Distance Learning (UNED). Keywords: Remote Laboratories, Control Systems, Education on Automation Head Researcher: O. Reinoso |
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