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The personal robotics domain is raising new challenges concerning the need for robot behaviour with a high level of personalisation with respect to each user’s needs and preferences.
The EU-funded PERSEO project will train early-stage researchers (ESRs) from the fields of computer science, philosophy, and psychology in how robotics technology can be personalised on the physical, cognitive and social levels. This will help the ESRs understand how to address social, legal and ethical issues that arise with the uptake of personal robots.
Physical Adaptation

The physical interaction level aims at providing personalization in tasks involving physical contact of the robot and the human, as well as of the robot and the surrounding environment

Cognitive Adaptation
The cognitive interaction level aims at providing the robot with high-level meta-cognition capabilities such as the capability of reasoning on the other individuals’ intentions, desires, and beliefs, as well as their internal states, personality, and emotions
Social Adaptation

Robots must be capable of recognizing and interpreting the social cues displayed by humans to successfully take part in social interactions. These represent observable cues that should produce the robot’s behavioral changes during the interaction

UPCOMING EVENT

Webinar on Recruitment

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UPCOMING EVENT

TRAITS Workshop @HRI 2021

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