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Robotics-Object-Pose-Estimation

Unity-Technologies / Robotics-Object-Pose-Estimation

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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.

machine-learning tutorial computer-vision deep-learning robotics unity simulation motion-planning ros perception trajectory-generation manipulation urdf physics-simulation pose-estimation autonomy model-training synthetic-data robotics-simulation ur3-robot-arm
  • Updated Apr 7, 2021
  • Python

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