Customize Consent Preferences

We use cookies to help you navigate efficiently and perform certain functions. You will find detailed information about all cookies under each consent category below.

The cookies that are categorized as "Necessary" are stored on your browser as they are essential for enabling the basic functionalities of the site. ... 

Always Active

Necessary cookies are required to enable the basic features of this site, such as providing secure log-in or adjusting your consent preferences. These cookies do not store any personally identifiable data.

No cookies to display.

Functional cookies help perform certain functionalities like sharing the content of the website on social media platforms, collecting feedback, and other third-party features.

No cookies to display.

Analytical cookies are used to understand how visitors interact with the website. These cookies help provide information on metrics such as the number of visitors, bounce rate, traffic source, etc.

No cookies to display.

Performance cookies are used to understand and analyze the key performance indexes of the website which helps in delivering a better user experience for the visitors.

No cookies to display.

Advertisement cookies are used to provide visitors with customized advertisements based on the pages you visited previously and to analyze the effectiveness of the ad campaigns.

No cookies to display.

PERSEO is a H2020 Project which puts together an Education and Training Network on PErsonalized Robotics as SErvice Oriented applications. PERSEO – aims at training a new generation of research and professional figures able to face the research challenges of the market of personal robots. The personal robotics domain presents several research challenges mainly related to the need for a high degree of personalization of the robot behaviour with respect to the specific user’s needs and preferences. Companies need to build solutions rooted in a deeper analysis of humans’ specificities before developing products for people. At the same time, academia needs to nurture the development of an extended research community with a set of interdisciplinary skills to investigate different robot’s capabilities for understanding and modelling the interaction with human beings, for adapting the robot’s behaviour to the context, and software integration mechanisms that allow an easy personalized configuration approach to limit the static and costly customization processes of a novel robotic system.

The PERSEO’s research program is organized into three Research Themes aimed at investigating personalization of robot capabilities at different levels of possible human-robot interaction, namely “Physical”, “Cognitive”, and “Social”. This requires a set of research skills ranging from computer science and AI to automation, ethics, and psychology. Fellows will deepen their knowledge in projects covering a specific research theme but, through training events, secondments, and peer collaborations will gain extensive knowledge in other areas so leading to a multidisciplinary research programme and the integration with other projects to achieve the proposed Integration Milestones. The project also aims at training Early Stage Researchers to address social, legal, and ethical issues that arise by the uptake of personal robots, as such skills are fundamental to achieve technological innovation which aligns with European social, ethical al legal values.

 

Andrea Bertolini is part of the Project and will be training and supervising one Early Stage Researcher which will carry out the following activities:

  • Study, analysis and discussions the legal, social and ethical problems on human-robot interaction;
  • Research and identify of criteria for the development of ethically aligned design and pleasant robots;
  • Elaborate policy guidelines on the topic;