Data-driven autonomous long-term interaction for social robots

01 October 2022 → 30 September 2026
Regional and community funding: Special Research Fund
Research disciplines
  • Natural sciences
    • Human-computer interaction
  • Social sciences
    • Knowledge representation and machine learning
  • Engineering and technology
    • Interactive and intelligent systems
    • Human-centered and life-like robotics
social robotics human-robot interaction machine learning interactive systems
Project description

The research project studies how social robots can use empathy and memory to establish a long-term interaction with users. Instead of programming the robot, machine learning is used in which a domain expert first controls the robot, after which the robot gradually takes over from the expert. The robot will be evaluated with children and elderly users in real-world scenarios.