proxy.golang.org : 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.
Registry
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Source
- Documentation
- JSON
purl: pkg:golang/github.com/%21unity-%21technologies/%21robotics-%21object-%21pose-%21estimation
Keywords:
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
License: Apache-2.0
Latest release: over 4 years ago
First release: over 4 years ago
Stars: 244 on GitHub
Forks: 70 on GitHub
See more repository details: repos.ecosyste.ms
Last synced: 23 days ago