ARCOR stands for Augmented Reality Collaborative Robot. It is a system for simplified programming of collaborative robots based on augmented reality developed by Robo@FIT.
This repository contains the backend solution. It can be easily tested out or deployed using docker images. Unity-based client application for ARCore-supported tablets is available here.
Development is supported by Test-it-off: Robotic offline product testing project (Ministry of Industry and Trade of the Czech Republic).
For more technical and development-related information, please see our wiki.
To get an idea of what our research is about, take a look at a video that was created in collaboration with ABB:
The video presenting the ARCOR2 system and its development in detail:
The following video by Kinali shows the use case (offline PCB testing), where our system was applied:
- Kapinus, Michal, et al. "Spatially situated end-user robot programming in augmented reality." 2019 28th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN). IEEE, 2019.
- Kapinus, Michal, et al. "Improved Indirect Virtual Objects Selection Methods for Cluttered Augmented Reality Environments on Mobile Devices." Proceedings of the 2022 ACM/IEEE International Conference on Human-Robot Interaction. 2022.
- Bambušek, Daniel, et al. "Handheld Augmented Reality: Overcoming Reachability Limitations by Enabling Temporal Switching to Virtual Reality." Proceedings of the 2022 ACM/IEEE International Conference on Human-Robot Interaction. 2022.
- Bambušek, Daniel, et al. How Do I Get There? Overcoming Reachability Limitations of Constrained Industrial Environments in Augmented Reality Applications. In: 2023 IEEE Conference Virtual Reality and 3D User Interfaces (VR). IEEE, 2023. p. 115-122.
- Kapinus, Michal, et al. ARCOR2: Framework for Collaborative End-User Management of Industrial Robotic Workplaces using Augmented Reality. arXiv preprint arXiv:2306.08464, 2023.
- 2024-04-11: 0.4.0 (docker-service, docker-objects, pypi).
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