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.
Train a robot to recognize and pick up objects in a simulated environment using computer vision.
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Free · no card · unsubscribe anytimeA 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.
Robotics-Object-Pose-Estimation has 346 stars on GitHub. It has been forked 83 times. Robotics-Object-Pose-Estimation is written mainly in Python. It has been in active development since 2021. Robotics-Object-Pose-Estimation is available under the Apache-2.0 license. Its main topics are autonomy, computer-vision, deep-learning, machine-learning.
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.
What license does Robotics-Object-Pose-Estimation use?
Robotics-Object-Pose-Estimation is available under the Apache-2.0 license.
What language is Robotics-Object-Pose-Estimation written in?
Robotics-Object-Pose-Estimation is written mainly in Python.
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