GitHub / 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.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Unity-Technologies%2FRobotics-Object-Pose-Estimation

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

• Files
• Readme
• Dependencies