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Found 2 papers, 1 papers with code
Learning to Generate All Feasible Actions
Several machine learning (ML) applications are characterized by searching for an optimal solution to a complex task.
6IMPOSE: Bridging the Reality Gap in 6D Pose Estimation for Robotic Grasping
To overcome this gap, we introduce 6IMPOSE, a novel framework for sim-to-real data generation and 6D pose estimation.
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