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. (by Unity-Technologies)

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Unity-Technologies/Robotics-Object-Pose-Estimation is an open source project licensed under Apache License 2.0 which is an OSI approved license.

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