Tim Schreiter
Tim Schreiter Position: Doctoral Student School/office: School of Science and TechnologyEmail: dGltLnNjaHJlaXRlcjtvcnUuc2U=
Phone: No number available
Room: T1227
About Tim Schreiter
I’m a Ph.D. student working on Human-Robot Interaction and Human Motion Prediction in the DARKO project. I did my B.Sc. and M.Sc. at the TU Chemnitz in Saxony, Germany in the discipline of Energy and Automation Systems, which was focused on robotics and control theory as well as industrial applications of these two domains.
During my studies, I gathered experience in working with ROS and robot agents as well as in the field of computer vision and machine learning.
Research projects
Active projects
Research groups
Publications
Articles in journals
- Schreiter, T. , Almeida, T. R. d. , Zhu, Y. , Gutiérrez Maestro, E. , Morillo-Mendez, L. , Rudenko, A. , Palmieri, L. , Kucner, T. P. & et al. (2024). THÖR-MAGNI: A large-scale indoor motion capture recording of human movement and robot interaction. The international journal of robotics research. [BibTeX]
- Morillo-Mendez, L. , Stower, R. , Sleat, A. , Schreiter, T. , Leite, I. , Martinez Mozos, O. & Schrooten, M. G. S. (2023). Can the robot "see" what I see? Robot gaze drives attention depending on mental state attribution. Frontiers in Psychology, 14. [BibTeX]
Conference papers
- Schreiter, T. , Rudenko, A. , Magnusson, M. & Lilienthal, A. (2024). Human Gaze and Head Rotation during Navigation, Exploration and Object Manipulation in Shared Environments with Robots. In: 2024 33rd IEEE International Conference on Robot and Human Interactive Communication (ROMAN). Paper presented at 2024 33rd IEEE International Conference on Robot and Human Interactive Communication (ROMAN), Passadena, CA, USA, 26-30 Aug. 2024. (pp. 1258-1265). IEEE Computer Society. [BibTeX]
- Schreiter, T. , Morillo-Mendez, L. , Chadalavada, R. T. , Rudenko, A. , Billing, E. , Magnusson, M. , Arras, K. O. & Lilienthal, A. J. (2023). Advantages of Multimodal versus Verbal-Only Robot-to-Human Communication with an Anthropomorphic Robotic Mock Driver. In: 2023 32nd IEEE International Conference on Robot and Human Interactive Communication (RO-MAN) Proceedings. Paper presented at 32nd IEEE International Conference on Robot and Human Interactive Communication (RO-MAN), Busan, South Korea, August 28-31, 2023. (pp. 293-300). IEEE. [BibTeX]
- Almeida, T. , Rudenko, A. , Schreiter, T. , Zhu, Y. , Gutiérrez Maestro, E. , Morillo-Mendez, L. , Kucner, T. P. , Martinez Mozos, O. & et al. (2023). THÖR-Magni: Comparative Analysis of Deep Learning Models for Role-Conditioned Human Motion Prediction. In: 2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW). Paper presented at IEEE/CVF International Conference on Computer Vision (ICCV) Workshops, Paris, France, October 2-6, 2023. (pp. 2192-2201). IEEE. [BibTeX]
- Schreiter, T. , Morillo-Mendez, L. , Chadalavada, R. T. , Rudenko, A. , Billing, E. A. & Lilienthal, A. J. (2022). The Effect of Anthropomorphism on Trust in an Industrial Human-Robot Interaction. In: SCRITA Workshop Proceedings (arXiv:2208.11090). Paper presented at 31st IEEE International Conference on Robot & Human Interactive Communication, Naples, Italy, August 29 - September 2, 2022. [BibTeX]
- Schreiter, T. , Almeida, T. R. d. , Zhu, Y. , Gutiérrez Maestro, E. , Morillo-Mendez, L. , Rudenko, A. , Kucner, T. P. , Martinez Mozos, O. & et al. (2022). The Magni Human Motion Dataset: Accurate, Complex, Multi-Modal, Natural, Semantically-Rich and Contextualized. Paper presented at 31st IEEE International Conference on Robot & Human Interactive Communication, Naples, Italy, August 29 - September 2, 2022. [BibTeX]