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Found 3 papers, 1 papers with code
Scoring Graspability based on Grasp Regression for Better Grasp Prediction
Therefore, in this paper, we extend a state-of-the-art neural network with a scorer that evaluates the graspability of a given position, and introduce a novel loss function which correlates regression of grasp parameters with graspability score.
Developmental Bayesian Optimization of Black-Box with Visual Similarity-Based Transfer Learning
In simulation, we demonstrate the benefit of the transfer learning based on visual similarity, as opposed to an amnesic learning (i. e. learning from scratch all the time).
Jacquard: A Large Scale Dataset for Robotic Grasp Detection
Jacquard is built on a subset of ShapeNet, a large CAD models dataset, and contains both RGB-D images and annotations of successful grasping positions based on grasp attempts performed in a simulated environment.
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