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Tool-sensed object information effectively supports vision for multisensory grasping

Ivan Camponogara, Alessandro Farnè, Robert Volcic
doi: https://doi.org/10.1101/2023.01.03.522671

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doi 
https://doi.org/10.1101/2023.01.03.522671
History 
  • January 4, 2023.
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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.

Author Information

  1. Ivan Camponogara1,*,
  2. Alessandro Farnè2,3,4 and
  3. Robert Volcic1,5
  1. 1Division of Science, New York University Abu Dhabi, Abu Dhabi, United Arab Emirates
  2. 2Integrative Multisensory Perception Action and Cognition Team - ImpAct, Lyon Neuroscience Research Center, INSERM U1028, CNRS U5292, Bron, France
  3. 3UCBL, University of Lyon 1, Villeurbanne, France
  4. 4Neuro-immersion, Hospices Civils de Lyon, Bron, France
  5. 5Center for Artificial Intelligence and Robotics, New York University Abu Dhabi, Abu Dhabi, United Arab Emirates
  1. ↵*Corresponding author email address:
    ivan.camponogara{at}nyu.edu

  1. Contributions: I.C. and R.V. designed research. I.C. performed research. I.C. and R.V. analyzed data. I.C., R.V. and A.F. wrote the paper.

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Posted January 04, 2023.
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Tool-sensed object information effectively supports vision for multisensory grasping
Ivan Camponogara, Alessandro Farnè, Robert Volcic
bioRxiv 2023.01.03.522671; doi: https://doi.org/10.1101/2023.01.03.522671
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