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Robotics-Object-Pose-Estimation

Robotics-Object-Pose-Estimation

by Unity-Technologies · GitHub

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.

# autonomy# computer-vision# deep-learning# machine-learning
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⭐ Stars
346
🍴 Forks
83
📜 License
Apache-2.0
Commercial use OK
📅 Created
2021
🔄 Last commit
4 yr ago
🏷️ Category
autonomy
💻 Language
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📈 Star history
347346
2026-07-202026-07-21
📄 About

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.

Frequently asked questions

What is Robotics-Object-Pose-Estimation?

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.

Is Robotics-Object-Pose-Estimation open source?

Robotics-Object-Pose-Estimation is an open-source project. It is released under the Apache-2.0 license.

Is Robotics-Object-Pose-Estimation free?

Yes. Robotics-Object-Pose-Estimation is free and open source — you can use, modify and self-host it.

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