https://github.com/prokil/aact-teleop
Teleoperating Robots with AR and AAct
https://github.com/prokil/aact-teleop
augmented-reality quest robotics teleoperation
Last synced: about 1 year ago
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Teleoperating Robots with AR and AAct
- Host: GitHub
- URL: https://github.com/prokil/aact-teleop
- Owner: ProKil
- Created: 2024-06-03T01:11:47.000Z (about 2 years ago)
- Default Branch: main
- Last Pushed: 2025-01-23T19:44:07.000Z (over 1 year ago)
- Last Synced: 2025-04-06T21:17:42.751Z (about 1 year ago)
- Topics: augmented-reality, quest, robotics, teleoperation
- Language: Python
- Homepage: https://aact.dev/latest/applications/robot-teleoperation/
- Size: 4.02 MB
- Stars: 4
- Watchers: 4
- Forks: 0
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
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README
# SIAT: Stretch Control with Immersive AR Teleoperation (CoRL 2024 Demo)

## Overview
SIAT (Stretch control with Immersive AR Teleoperation) is a novel system that enables intuitive control of the Stretch robot with Quest. Building on top of [AAct](https://aact.dev), it is easily extensible to integrate multiple sensors, control interfaces, and robotics models.
## Demo Team
Hao Zhu, Vidhi Jain, Su Li, Yonatan Bisk
### Contributors
Jensen (Yi-Che) Huang, Sophia Huang
## Features
* Intuitive AR interface for robot control
* Full body control with intuitive human movements
## System Requirements
### Hardware
* Hello Robot Stretch 3
* Oculus Quest 3 / Pro
### Software
Python 3.10 or later
# Usage
Please checkout the [documentation on aact.dev](https://aact.dev/latest/applications/robot-teleoperation/).
# Citations
If you use this work, please cite our paper:
```bibtex
@misc{zhu2024siat,
title={SIAT: Stretch control with Immersive AR Teleoperation},
author={Zhu, Hao and Jain, Vidhi and Li, Su and Bisk, Yonatan},
howpublished={Demo presented at the Conference on Robot Learning (CoRL)},
year={2024},
note={Munich, Germany}
}
```
# Contact
For questions and support, please contact:
Hao Zhu (prokilchu@gmail.com)