People

Heiko Hübert

External Collaborator

Robotics

 

Email:
heiko.huebert@HTW-Berlin.de

 

Photo: SCIoI

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Heiko Hübert

Heiko Hübert

Photo: SCIoI

Heiko Hübert is a professor at HTW Berlin since 2015, specializing in embedded systems and with a focus on health electronics. At SCIoI, he collaborated in Project 6 and contributed by creating an open source robotic framework, Sobotify, which integrates AI-/ML-based tools in social robots in education. Currently, he continues his collaboration with SCIoI in the Integration B2 project, extending Sobotify by integrating the findings from the SCIoI projects to demonstrate social intelligence in robots. His research interests include open source platforms for social robots and socially assistive robotics (SAR), also for applications in elderly care and health.


Projects

Heiko Hübert is member of Project Integration.


Yun, H. S., Hübert, H., Pinkwart, N., & Hafner, Verena. V. (2024). Design Based Research on Multimodal Robotic Learning Companion. 25th International Conference on Artificial Intelligence in Education. https://doi.org/10.1007/978-3-031-64312-5_12
Hübert, H., & Yun, H. S. (2024). Sobotify: A Framework for Turning Robots into Social Robots. Proceedings of the 2024 ACM/IEEE International Conference on Human-Robot Interaction (HRI ’24), March 11–14, 2024, Boulder, CO, USA.
Yun, H. S., Hübert, H., Sardogan, A., Pinkwart, N., Hafner, V., & Lazarides, R. (2023). Humanoid Robot as a Debate Partner. 25th International Conference on Human-Computer Interaction. https://doi.org/10.1007/978-3-031-36004-6_74
Yun, H. S., Hübert, H., Chevalere, J., Pinkwart, N., Hafner, V., & Lazarides, R. (2023). Analyzing Learners’ Emotion from an HRI experiment using Facial Expression Recognition Systems. 25th International Conference on Human-Computer Interaction. https://doi.org/10.1007/978-3-031-34550-0_29
Yun, H. S., Taliaronak, V., Kirtay, M., Chevelère, J., Hübert, H., Hafner, V. V., Pinkwart, N., & Lazarides, R. (2022). Challenges in Designing Teacher Robots with Motivation Based Gestures. 17th Annual ACM/IEEE International Conference on Human-Robot Interaction (HRI 2022). https://arxiv.org/abs/2302.03942
Yun, H. S., Hübert, H., Taliaronak, V., Mayet, R., Kirtay, M., Hafner, V. V., & Pinkwart, N. (2022). AI-based Open-Source Gesture Retargeting to a Humanoid Teaching Robot. AIED 2022: The 23rd International Conference on Artificial Intelligence in Education. https://link.springer.com/chapter/10.1007/978-3-031-11647-6_51
Yun, H. S., Hübert, H., Taliarona, V., & Sardogan, A. (2022). Utilizing Machine Learning based Gesture Recognition Software, Mediapipe, in the Context of Education and Health. AI Innovation Summit 2022.

Research

An overview of our scientific work

See our Research Projects