RoboCARE
Compassionate, Adaptive, Robust and Explainable Robots
Developing the next generation of socially-aware, adaptive and trustworthy robotic systems for human-centred care.
Research Pillars
The RoboCARE framework is built around four interconnected research pillars. Together they enable socially-aware perception, adaptive intelligence, explainable decision-making and embodied robotic assistance for trustworthy human-centred care.
01.
PERCEIVE
Social perception & multimodal understanding.
Understanding people through vision, speech, emotion and activity recognition.
02.
ADAPT
Adaptive intelligence & personalised assistance.
Learning from users and contexts to continuously personalise robotic behaviour, interaction strategies and assistance.
03.
CONVEY
Explainable interaction & trustworthy communication
Providing transparent explanations, intuitive communication and understandable AI decisions that strengthen user trust.
04.
EXHIBIT
Embodied robotic behaviour & real-world deployment
Integrating perception, adaptation and explainability into autonomous robotic systems operating in healthcare environments.
RoboCARE in Action
RoboCARE will be validated through two representative experimental environments, designed to assess socially-aware perception, adaptation, explainability and navigation under realistic human–robot interaction conditions.
USE CASE 01
Domestic Environments
In the domestic environment, RoboCARE will evaluate how a service robot understands indoor spaces, recognises human activities and emotional responses, adapts its behaviour and communicates its decisions during everyday interaction.
The scenarios examine place-aware navigation, action-aware adaptation, affective feedback learning and explainable human–robot dialogue.
Place-Aware Navigation
Action-Aware Adaptation
Affective Feedback
Explainable Dialogue
USE CASE 02
Crowded Environments
In the crowded environment, RoboCARE will evaluate how a service robot perceives changing social density, navigates safely among multiple people and adapts its motion and interaction behaviour in dynamic shared spaces.
The scenarios examine crowd-aware navigation, place-and-crowd adaptation, behavioural familiarity and explainable human–robot communication.
Crowd-Aware Navigation
Place & Crowd Adaptation
Behavioural Familiarity
Explainable Communication
Behind RoboCARE
RoboCARE is developed by the Robotics and Automation Laboratory of Democritus University of Thrace, bringing together researchers in robotics, artificial intelligence, human–robot interaction and trustworthy autonomous systems.
Democritus University of Thrace
Laboratory of Robotics and Automation
Professor Antonios Gasteratos
Principal Investigator
“Our vision is to develop socially-aware, adaptive and explainable robotic systems that naturally collaborate with people in everyday environments.”
Research Team
Ioannis Kansizoglou
Assistant Professor
Symeon
Symeonidis
Assistant Professor
Michail
Kosmidis
PhD Student
Eleni
Sianti
PhD Student
Altzi
Tsanko
PhD Student
