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https://github.com/unity-technologies/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.
https://github.com/unity-technologies/robotics-object-pose-estimation
autonomy computer-vision deep-learning machine-learning manipulation model-training motion-planning perception physics-simulation pose-estimation robotics robotics-simulation ros simulation synthetic-data trajectory-generation tutorial unity ur3-robot-arm urdf
Last synced: about 1 month ago
JSON representation
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.
- Host: GitHub
- URL: https://github.com/unity-technologies/robotics-object-pose-estimation
- Owner: Unity-Technologies
- License: apache-2.0
- Created: 2021-02-19T00:54:13.000Z (over 3 years ago)
- Default Branch: main
- Last Pushed: 2022-04-13T17:50:31.000Z (over 2 years ago)
- Last Synced: 2024-10-07T09:46:40.672Z (about 1 month ago)
- Topics: autonomy, computer-vision, deep-learning, machine-learning, manipulation, model-training, motion-planning, perception, physics-simulation, pose-estimation, robotics, robotics-simulation, ros, simulation, synthetic-data, trajectory-generation, tutorial, unity, ur3-robot-arm, urdf
- Language: Python
- Homepage:
- Size: 38.6 MB
- Stars: 290
- Watchers: 15
- Forks: 75
- Open Issues: 7
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Metadata Files:
- Readme: README.md
- Changelog: CHANGELOG.md
- Contributing: CONTRIBUTING.md
- License: LICENSE
- Code of conduct: CODE_OF_CONDUCT.md