Customize the use of cookies

This website uses cookies to provide more efficient navigation and analyze visitor traffic. You will find detailed information about them below.

Cookies classified as "Necessary" will be stored in your browser, as they are essential for enabling the basic functionalities of the site. We also use third-party cookies aimed at analytics (Google Analytics), which help us analyze how you use this website. You can choose to enable or disable some of these cookies, but doing so may affect your browsing experience.

Always Active

These cookies are required to provide basic functionality of the website and cannot be disabled. They do not store any private or personally identifiable data.

These cookies allow us to understand how visitors interact with the website and provide information related to the number of visits, traffic sources, and bounce rates.

These cookies are used to provide visitors with personalized ads based on the pages they previously visited and to analyze the effectiveness of advertising campaigns. They are usually related to the integration of social media videos on the website.

CARTIF projects

AIROSO

 

Integrating robotics into society

Description

At AIROSO Project, progress will be made in integrating robotics into society, progressing in two directions: the coexistence of social robots with older people and human-robot interaction using robotic heads. You want to experiment with this type of users to develop new perceptual models, interaction and learning strategies.

User identification systems will be developed using Deep Learning techniques and progress will be made in developing services that robots can offer to dependent people. Finally, a robotic head will be developed combining mechatronic elements and a realistic virtual avatar that will be projected on a face mask to promote user empathy.

 

Objectives

  • Provide robots with deep models of social cognition.
  • Improve the interactio of users with robots and their satisfactio with use, with special attention to the elderly.
  • Improve the automatic adaptation of the robot to the user based on their tastes, preferences or psychophysical characteristics.
  • Delve into the facial expressiveness of robots to achieve a more empathetic and efficient human-robot communication.

Actions

  • Develop user identification systems through Deep Learning.
  • Develop services to assist dependent people.
  • Integrate cloud resources to optimize tasks without real-time requirements.
  • Develop planning models based on previous interactions.
  • Develop a robotic head that combines physical elements and virtual avatars projected on a face mask to promote user emphaty.

Expected results

  • Perceptual recognition models.
  • Perceptual models of knowledge acquisition about users.
  • Models of interaction, planning and action.
  • Models of learning and adaptation.
  • Mechatronic head with rear-projected virtual face.
  • Models of perception and action of the head.

Partners:

Logo CARTIF

Collaboration Challenges 2018

RTI2018-096652-B-I00

Logo programa Retos

Total budget: 145.321 €
CARTIF Grant: 145.321 €
Duration: 01/01/2019 – 31/12/2021

Logo Airoso

Responsible

Javier Román Cembranos

Division Industrial and Digital Systems

Networking

Health Projects:

ROSBAC

ROSBAC

The objective is to develop a new generation of Socio-Bio-Cooperative robotic devices based on haptic technology combined with the novel Socio-Bio-Cooperative control approach to robotic systems, which proposes to use the biophysical signals of the users to adapt their reaction to the user’s state.

read more
EIAROB

EIAROB

CARTIF PROJECTS EIAROBAmbient intelligence ecosystem for the support of long-term care at home using social botsDescriptionEIAROB project has as main objective promote the autonomy and quality life of elder and dependent people. The project is articulated in 3 axes:...

read more
PROCURA

PROCURA

PROCURA aims at the realisation of two innovative social and health care solutions for active ageing and independent living, going beyond the current specifications available on the market and allowing the piloting of innovative technologies in the experimental environment of a living lab.

read more
Share This