Projects

This group have been actively participated to projects funded by European Union and the government of Spain. Our contribution has mainly concentrated on robotic and computer vision. Following is the summary of the projects we were/are involved.

<strong>GABLE</strong>:Gamification for Better LifE

GABLE:Gamification for Better LifE

year: 2016-2019

The main objective of the GABLE project is to launch a social platform for personalized games that would dramatically enhance the living conditions of people with Cerebral Palsy (CP). This platform continues the work previously done in the "Game-abling" project, and updates it to relevant emerging gaming technologies, such as augmented reality, while, at the same time, introducing machine learning in the backbone of the platform, in order to provide the level of personalization envisioned. As such, carers for people with CP will have the tools to personalize the games. Besides, it offers control mechanisms that allow the carers to adequately monitor the progress of the patients. The focus of the games in this platform is on social inclusion, by means of improving the physical activity of CP patients, through the use of multiplayer technologies in the creation of such games, which will facilitate the development of relationships within groups of CP patients, as well as outside these groups.

Personalized Breast cancer Treatment by determining the molecular subtype and modeling of relapse

Personalized Breast cancer Treatment by determining the molecular subtype and modeling of relapse

year: 2015-2017

There is an unstoppable tendency towards personalized medicine in order to achieve both, diagnosis and treatment, and monitoring more effective for each patient. In this line, we propose the P-BreasTreat project, aimed at the personalized treatment of breast cancer by developing new computational techniques for image and data analysis. The ultimate purpose is to improve the effectiveness of current methods for determining the level of malignancy associated with that cancer tumors and also to propose models to prevent relapse and improve the quality of life of the patients.

Rehabibotics: Using Humanoid Robots to Convey Rehabilitation Therapies to Disabled People

Rehabibotics: Using Humanoid Robots to Convey Rehabilitation Therapies to Disabled People

year: 2015-2017

Analysis of requirements for an efficient cognitive stimulation using humanoid roots, among individuals with Intellectual Disability(ID), as well as learning of engagement/emotional state during HRI among individuals with ID using physiological signals and external cues and adaptation of robot behavior for an effective cognitive stimulation, using knowledge of actual emotional and engagement state of participants.

3D Facial Recostruction and printing for radiotherapy application

3D Facial Recostruction and printing for radiotherapy application

year: 2016-2017

3D Printing of individualized tissue equivalent plastic models for electron beam radiation used in radiotherapy applications. Recostruction and modification of a 3D mesh obtained from a previously-scanned patient to obtain a model that permits allocation of the beams required in the medical treatment, and effective printing of the final model

IA-BIOBREAST: Pixel-level analysis of texture features and fusion of multimodal information

IA-BIOBREAST: Pixel-level analysis of texture features and fusion of multimodal information

year: 2013-2015

Detection based on screening programs in high-risk populations is a major asset in the struggle against Breast Cancer. Currently, screening programs in most developed countries focus in analysing digital mammography images. Computer Aided Diagnosis (CAD) systems provide decisive help in this task. Nevertheless, latest tendencies imply that not all women should follow the same screening protocol (i.e. systematic mammography every two years), but they should be stratified according to several criteria. This criteria stand mainly for cancer risk biomarkers such as breast density or previous lesion evolution. The capacity to stratify patients improves diagnostic efficiency by using different medical imaging modalities. Specifically, personalised screening programs make use of the image modality that provide the better information for each patient type.

Game-abling: Platform of Games for People with Cerebral Palsy to Enhance Living Adjusment

Game-abling: Platform of Games for People with Cerebral Palsy to Enhance Living Adjusment

year: 2012-2014

Cerebral Palsy (CP) is one of the most frequently conditions in childhood, with an incidence of 2 per 1,000 live births. In the EU there is 1.3 out of 15 million persons with CP in the world. This neurological disorder affects body movement, balance and posture and almost always is accompanied by other cognitive or sensory impairments like mental retardation, deafness and vision problems. The severity of these problems varies widely, from very mild and subtle to very profound.

Hybrid Robot UGV/UAV Ultra-High Mobility

Hybrid Robot UGV/UAV Ultra-High Mobility

year: 2010-2012

This project aims at designing a new concept of mobile hybrid robot UGV-UAV (Unmanned Ground Vehicle - Unmanned Aerial Vehicle) that allows for substantially increasing the degree of mobility in today's robots. Soil properties impose severe restrictions on the mobility of robots (mobility in the broadest sense refers to the performance of the robot in relation to the field, ability to negotiate obstacles and avoid them, ability to overcome rough terrain and crossing streams.) The combination of two locomotion systems in a single hybrid system will allow the speed, controllability and autonomy of a land mobile platform, adding the mobility of a system capable of flying. The project aims to develop the associated technologies (stability control, attendance control, software and control architectures, HRI interfaces, navigation systems and assistance through Artificial Vision) to develop a new type of robot to be applied in multiple scenarios.

3D Scene Interpretation Through Computer Vision from the Coordinated Analysis of Images Obtained by

3D Scene Interpretation Through Computer Vision from the Coordinated Analysis of Images Obtained by

year: 2007-2010

This project aims at designing new computer vision techniques that allow the automatic interpretation of 3D scenes from the analysis of images provided by a team of mobile robots. The new schemes will take advantage of the different images corresponding to a same region delivered by each member of the team by means of a coordinated inspection. Such a interpretation is expected to contribute to increasing the performance of cooperative tasks developed by the team of robots. In this way, the accuracy of both the self-localization of mobile robots in the space and the global 3D model of the environment is desired as a result of those techniques.

Coordinated Exploration of Wide-Area Environments with Multiple Robots Through Vision-Based 3D SLAM

Coordinated Exploration of Wide-Area Environments with Multiple Robots Through Vision-Based 3D SLAM

year: 2004-2007

This project aims at designing and implementing new exploration strategies that allow a team of mobile robots to deploy collaboratively in order to obtain processable three-dimensional models of wide-area, unknown environments. Every robot will map its surroundings and simultaneously determine its position and orientation in space by processing visual information obtained by means of an off-the-shelf stereo camera. The accuracy of both the robot's pose and the locally obtained 3D models will be continuously improved by integrating information gathered by separate robots. In this way, a consistent global 3D model of the environment is expected as a result of the exploration process.

Multiagent System of Advanced Observers for Scene Analysis and Recognition in Adverse Environments

Multiagent System of Advanced Observers for Scene Analysis and Recognition in Adverse Environments

year: 2001-2004

This project aims at designing and implementing a computer system based on multiagent technology that allows the coordination of a team of mobile robots endowed with sensory devices, in order that they deploy over an unstructured and possibly adverse environment, and cooperate for obtaining information about it. Information acquired in a distributed manner by the robotic team must be analyzed and integrated with the purpose of obtaining a complete and precise computer model of the recognized area. That model will simplify further both planning and decision making activities performed by other agents in charge of the execution of more complex tasks related to the aforementioned environment (rescue personnel, fire brigades, etc.). Hence, the goals of this project are similar to those of the Robocup Rescue Robot League, although we do not pretend to participate in the tournament.