Corpus ID: 210920445

Multi-Fingered Grasp Planning via Inference in Deep Neural Networks

@article{Lu2020MultiFingeredGP,
  title={Multi-Fingered Grasp Planning via Inference in Deep Neural Networks},
  author={Qingkai Lu and Mark Van der Merwe and Balakumar Sundaralingam and Tucker Hermans},
  journal={ArXiv},
  year={2020},
  volume={abs/2001.09242}
}

Qingkai Lu, Mark Van der Merwe, +1 author Tucker Hermans

Published 2020

Computer Science

ArXiv

We propose a novel approach to multi-fingered grasp planning leveraging learned deep neural network models. We train a voxel-based 3D convolutional neural network to predict grasp success probability as a function of both visual information of an object and grasp configuration. We can then formulate grasp planning as inferring the grasp configuration which maximizes the probability of grasp success. In addition, we learn a prior over grasp configurations as a mixture density network conditioned… CONTINUE READING

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