Robotic grasp synthesis using deep learning approaches: a survey

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dc.contributor.author Vyas, Dhaval R.
dc.contributor.author Markana, Anilkumar
dc.contributor.author Padhiyar, Nitin
dc.contributor.other International Conference on Mathematical Modeling, Computational Intelligence Techniques and Renewable Energy (MMCITRE 2020)
dc.coverage.spatial Gandhinagar, IN
dc.date.accessioned 2021-03-16T12:19:00Z
dc.date.available 2021-03-16T12:19:00Z
dc.date.issued 21-02-20
dc.identifier.citation Vyas, Dhaval R.; Markana, Anilkumar and Padhiyar, Nitin, "Robotic grasp synthesis using deep learning approaches: a survey", in the 1st International Conference on Mathematical Modeling, Computational Intelligence Techniques and Renewable Energy (MMCITRE 2020), Gandhinagar, IN, Feb. 21-23, 2020. en_US
dc.identifier.uri https://repository.iitgn.ac.in/handle/123456789/6366
dc.description.statementofresponsibility by Dhaval R. Vyas, Anilkumar Markana, and Nitin Padhiyar
dc.language.iso en_US en_US
dc.title Robotic grasp synthesis using deep learning approaches: a survey en_US
dc.type Article en_US


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