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Found 4 papers, 2 papers with code
PEGG-Net: Background Agnostic Pixel-Wise Efficient Grasp Generation Under Closed-Loop Conditions
Performing closed-loop grasping at close proximity to an object requires a large field of view.
Improving Learning from Demonstrations by Learning from Experience
How to make imitation learning more general when demonstrations are relatively limited has been a persistent problem in reinforcement learning (RL).
Voxel-based Network for Shape Completion by Leveraging Edge Generation
Deep learning technique has yielded significant improvements in point cloud completion with the aim of completing missing object shapes from partial inputs.
Cascaded Refinement Network for Point Cloud Completion with Self-supervision
This is to mitigate the dependence of existing approaches on large amounts of ground truth training data that are often difficult to obtain in real-world applications.
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