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Interactive Robotics in Medicine and Care
Research
Interactive Robotics in Medicine and Care
© Bielefeld University
Interactive Robotics in Medicine and Care
© University Bielefeld / Patrick Pollmeier
Interactive Robotics in Medicine and Care
© University Bielefeld / Patrick Pollmeier
Interactive Robotics in Medicine and Care
© Bielefeld University
Interactive Robotics in Medicine and Care
© University Bielefeld / Patrick Pollmeier
Interactive Robotics in Medicine and Care
© University Bielefeld / Patrick Pollmeier
Interactive Robotics in Medicine and Care
© University Bielefeld / Patrick Pollmeier
Interactive Robotics in Medicine and Care
© University Bielefeld / Patrick Pollmeier
Interactive Robotics in Medicine and Care
© University Bielefeld / Patrick Pollmeier
Interactive Robotics in Medicine and Care
© University Bielefeld / Patrick Pollmeier
Interactive Robotics in Medicine and Care
© University Bielefeld / Patrick Pollmeier
Interactive Robotics in Medicine and Care
© University Bielefeld / Patrick Pollmeier
Interactive Robotics in Medicine and Care
© University Bielefeld / Patrick Pollmeier
Interactive Robotics in Medicine and Care
© University Bielefeld / Patrick Pollmeier
Interactive Robotics in Medicine and Care
© University Bielefeld / Patrick Pollmeier
Interactive Robotics in Medicine and Care
© University Bielefeld / Patrick Pollmeier
Interactive Robotics in Medicine and Care
© University Bielefeld / Patrick Pollmeier
Interactive Robotics in Medicine and Care
© Bielefeld University / Patrick Pollmeier
Ongoing projects
© Universität Bielefeld
Co-Constructive Robot Task Teaching and Learning in a Virtual Environment
© Universität Bielefeld
Mobilization of children after trauma or surgery and of children with depression
© Universität Bielefeld
Reducing the Mental Model Mismatch in Cooperative Robot Teaching
© 2024 SAIL
Adaptive Interactions for Self-efficacy (AI4self) Shy children and humans with disabilities may suffer from low self-esteem and self-efficacy
© Universität Bielefeld
Transfer of intelligent assistance systems between theory and practice
© Universität Bielefeld
SFB/TRR 318 B05 Co-constructing explainability with an interactively learning robot
© Universität Bielefeld
Empowering Clinical Experts with Machine Learning through ML Interfaces
Completed projects
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