# Unity-Technologies/Robotics-Object-Pose-Estimation

<https://repo.masters-masters.com/en/repos/Unity-Technologies/Robotics-Object-Pose-Estimation>

[Home](https://repo.masters-masters.com/en) › [Unity-Technologies](https://repo.masters-masters.com/en/owners/Unity-Technologies) › [Robotics-Object-Pose-Estimation](https://repo.masters-masters.com/en/repos/Unity-Technologies/Robotics-Object-Pose-Estimation)

Unity-Technologies/Robotics-Object-Pose-Estimation has 350 stars on GitHub. Its RepoMasters card: Alpha tier. A complete end-to-end demonstration in which we…

| Field | Value |
| --- | --- |
| Owner | [Unity-Technologies](https://repo.masters-masters.com/en/owners/Unity-Technologies) |
| Stars | 350 |
| Forks | 83 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | Apache-2.0 |
| Created | 2021 |
| Topics | unity, pose-estimation, ros, urdf, robotics, autonomy, manipulation, computer-vision, model-training, synthetic-data |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [Unity-Technologies/Robotics-Object-Pose-Estimation](https://github.com/Unity-Technologies/Robotics-Object-Pose-Estimation) |

## Repository

A complete end-to-end demonstration in which we collect training data in Unity and use that data to train a deep neural network to predict the pose of a cube. This model is then deployed in a simulated robotic pick-and-place task.

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.