Wang et al., 2023 - Google Patents

Dexgraspnet: A large-scale robotic dexterous grasp dataset for general objects based on simulation

Wang et al., 2023

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Document ID
17374432468210982460
Author
Wang R
Zhang J
Chen J
Xu Y
Li P
Liu T
Wang H
Publication year
Publication venue
2023 IEEE International Conference on Robotics and Automation (ICRA)

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Snippet

Robotic dexterous grasping is the first step to enable human-like dexterous object manipulation and thus a crucial robotic technology. However, dexterous grasping is much more under-explored than object grasping with parallel grippers, partially due to the lack of a …
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    • G06K9/6232Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods
    • G06K9/6247Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods based on an approximation criterion, e.g. principal component analysis
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    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62Methods or arrangements for recognition using electronic means
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    • G06K9/6202Comparing pixel values or logical combinations thereof, or feature values having positional relevance, e.g. template matching
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    • G06K9/629Fusion techniques, i.e. combining data from various sources, e.g. sensor fusion of extracted features
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    • G06K9/6279Classification techniques relating to the number of classes
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computer systems based on biological models
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