UAH has been working on the SmartElderlyCar project (2016-2018), developing a first prototype car with some autonomous functions. Based on our previous results in this project, the main objective of the Techs4AgaCar proposal is to investigate techniques for a new concept of automatic electric car (AgeCar), capable of assisting senior drivers with different levels of automation, according to needs. drivers and taking into account safety and user acceptance as key development points
The mission of the RoboCity2030 consortium is the development of robotic systems for the well-being of citizens and the improvement of their quality of life.
Our technology is aimed at solving various challenges of daily life with the introduction of intelligent robots. The main applications are assistance robots, social robots, field robots, rescue robots, environmental robots, and autonomous vehicles. All of them in order to create an intelligent robotic city of the future.
This ecosystem supports research excellence in robotics, generates efficient technology transfer, creates new companies and innovative spin-offs, and solves social and educational needs. It works closely with the regional government and involves several large cities in the Madrid region.
En los últimos años se han intensificado los esfuerzos en el diseño de nuevas estrategias de marketing que mejoren la captación de clientes y su fidelización e interés en las marcas y/o productos que son objeto de una campaña de marketing. Estas nuevas estrategias giran en torno a tres pilares básicos: los dispositivos móviles, que facilitan el acceso a la información desde interfaces sencillas e intuitivas; las redes sociales, a través de las cuales es posible hacer llegar la información sobre la campaña de marketing a un gran número de clientes que, además, pueden interaccionar entre sí; y las técnicas basadas en estrategias de juegos (gamificación), orientadas a mantener el interés de los clientes en el producto a lo largo del tiempo.
This project proposes the development of the navigation system for a robotic guide. This robot is employed to guide people inside shops, malls or even museums, showing the most relevant things of them. Although the design of robotic guide systems is a well known problem, the development in a real, dynamic and likely crowded environment is challenging. The project introduces the robotic platform that we propose and the software structure (developed under ROS) to carry out a safe navigation inside crowded and dynamic environments.
In this project we have built a robotic research platform to develop high-level application using the robotics development platform Robot Operating System (ROS). It is a differential traction platform and it is equipped with odometry sensors and distance (ultrasonic and infrared). It is designed to work indoors. The embeded cards run ROS modules to control the motors and to perceive the information from sensors. In this way the perception is completely transparent to the remote control station. The modular design has been choosen to increase the functionality and autonomy. In addition, we designed a 3D model in Gazebo simulator that can be used as prior before designing the actual application.
Robots are increasingly being deployed in teams that support a variety of human activities, including planning and decision-making. Beyond supporting human endeavors, these teams often include humans as active components that sense, interact, and collaborate with their automated counterparts. These robotic teams are characterized by their ability to acquire vast amounts of data that must be properly processed, analyzed, interpreted, and fused to ensure its right functioning, in terms of coordination, negotiation, distribution, and cooperation.
Universidad de Alcalá
Av. Jesuitas s/n.
Alcalá de Henares, 28871