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Implicit representation priors meet Riemannian geometry for Bayesian robotic grasping

N Marlier, J Gustin, G Louppe, O Brüls - arXiv preprint arXiv:2304.08805, 2023 - arxiv.org
Computer Science paper cs.RO Suggest

… Closer to our work, a similar study [8] uses simulationbased inference to compute the maximum a posteriori through Riemannian gradient ascent. However, this approach uses a …

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BibTeX

@misc{marlier2023implicit,
      title={Implicit representation priors meet Riemannian geometry for Bayesian robotic grasping}, 
      author={Norman Marlier and Julien Gustin and Olivier Brüls and Gilles Louppe},
      year={2023},
      eprint={2304.08805},
      archivePrefix={arXiv},
      primaryClass={cs.RO}
}

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