Robotics-Object-Pose-Estimation

Robotics-Object-Pose-Estimation

Unity-Technologies

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.

326 Stars
82 Forks
326 Watchers
Python Language
apache-2.0 License
Cost to Build
$2.59M
Market Value
$8.41M

Growth over time

15 data points  ·  2021-07-01 → 2025-09-01
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What is the Unity-Technologies/Robotics-Object-Pose-Estimation GitHub project? Description: "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.". Written in Python. Explain what it does, its main use cases, key features, and who would benefit from using it.

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