Tim Schreiter

Orcid: 0000-0002-9387-2312

According to our database1, Tim Schreiter authored at least 16 papers between 2019 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Perceived Safety of Workers in Encounters with Large Industrial AGVs.
CoRR, May, 2026

Accurate 3D Gaze Estimation in a Controlled Environment using Gaze-tracking Glasses and Motion Capture.
Proceedings of the 2026 Symposium on Eye Tracking Research and Applications, 2026

2025
Collecting Human Motion Data in Large and Occlusion-Prone Environments using Ultra-Wideband Localization.
CoRR, May, 2025

Multimodal Interaction and Intention Communication for Industrial Robots.
CoRR, February, 2025

THÖR-MAGNI: A large-scale indoor motion capture recording of human movement and robot interaction.
Int. J. Robotics Res., 2025

Gaze-supported Large Language Model Framework for Bi-directional Human-Robot Interaction.
Proceedings of the 34th IEEE International Conference on Robot and Human Interactive Communication, 2025

Evaluating Efficiency and Engagement in Scripted and LLM-Enhanced Human-Robot Interactions.
Proceedings of the 20th ACM/IEEE International Conference on Human-Robot Interaction, 2025

THÖR-MAGNI Act: Actions for Human Motion Modeling in Robot-Shared Industrial Spaces.
Proceedings of the 20th ACM/IEEE International Conference on Human-Robot Interaction, 2025

2024
THÖR-MAGNI Act: Actions for Human Motion Modeling in Robot-Shared Industrial Spaces.
CoRR, 2024

Bidirectional Intent Communication: A Role for Large Foundation Models.
CoRR, 2024

Human Gaze and Head Rotation during Navigation, Exploration and Object Manipulation in Shared Environments with Robots.
Proceedings of the 33rd IEEE International Conference on Robot and Human Interactive Communication, 2024

2023
Advantages of Multimodal versus Verbal-Only Robot-to-Human Communication with an Anthropomorphic Robotic Mock Driver.
Proceedings of the 32nd IEEE International Conference on Robot and Human Interactive Communication, 2023

THÖR-Magni: Comparative Analysis of Deep Learning Models for Role-conditioned Human Mtion Prediction.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
The Magni Human Motion Dataset: Accurate, Complex, Multi-Modal, Natural, Semantically-Rich and Contextualized.
CoRR, 2022

The Effect of Anthropomorphism on Trust in an Industrial Human-Robot Interaction.
CoRR, 2022

2019
Learning to Predict 2D Object Instances by Applying Model-Based 6D Pose Estimation.
Proceedings of the Advances in Service and Industrial Robotics, 2019


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