MetaGrasp: Data Efficient Grasping by Affordance Interpreter Network

ICRA, pp. 4960-4966, 2019.

Cited by: 3|Bibtex|Views22|DOI:https://doi.org/10.1109/ICRA.2019.8793912
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Other Links: dblp.uni-trier.de|academic.microsoft.com|arxiv.org

Abstract:

Data-driven approach for grasping shows significant advance recently. But these approaches usually require much training data. To increase the efficiency of grasping data collection, this paper presents a novel grasp training system including the whole pipeline from data collection to model inference. The system can collect effective gras...More

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