Exploiting Augmented Reality for Extrinsic Robot Calibration and Eye-based Human-Robot Collaboration

Author:

Weber Daniel1,Kasneci Enkelejda1,Zell Andreas1

Affiliation:

1. University of Tübingen,Tübingen,Germany

Publisher

IEEE

Reference51 articles.

1. Eye tracking: empirical foundations for a minimal reporting guideline;holmqvist;Behavior Research Methods,2021

2. ArUco/gaze tracking in real environments;peysakhovich;Eye Tracking for Spatial Research Proceedings of the 3rd International Workshop ETH Zurich,2018

3. Saliency-Guided Detection of Unknown Objects in RGB-D Indoor Scenes

4. Unseen ob-ject instance segmentation for robotic environments;xie;ArXiv Preprint,2020

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1. A Path to Industry 5.0 Digital Twins for Human–Robot Collaboration by Bridging NEP+ and ROS;Robotics;2024-02-01

2. Human Behavior Analysis in Human-Robot Cooperation with AR Glasses;2023 IEEE International Symposium on Mixed and Augmented Reality (ISMAR);2023-10-16

3. Leveraging Saliency-Aware Gaze Heatmaps for Multiperspective Teaching of Unknown Objects;2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS);2023-10-01

4. Integrating Virtual, Mixed, and Augmented Reality to Human–Robot Interaction Applications Using Game Engines: A Brief Review of Accessible Software Tools and Frameworks;Applied Sciences;2023-01-18

5. Gaze-based Object Detection in the Wild;2022 Sixth IEEE International Conference on Robotic Computing (IRC);2022-12

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