Robotics-Object-Pose-Estimation
PublicA 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.
autonomycomputer-visiondeep-learningmachine-learningmanipulationmodel-trainingmotion-planningperceptionphysics-simulationpose-estimation
Creat：2021-02-19T08:54:13
Update：2025-03-04T20:25:31
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