A Bayesian Treatment of Real-to-Sim for Deformable Object Manipulation-Reference-Cited by-同舟云学术

A Bayesian Treatment of Real-to-Sim for Deformable Object Manipulation

Published:2022-07 Issue:3 Volume:7 Page:5819-5826
ISSN:2377-3766
Container-title:IEEE Robotics and Automation Letters
language:
Short-container-title:IEEE Robot. Autom. Lett.

Author:

Antonova Rika¹^ORCID,Yang Jingyun²^ORCID,Sundaresan Priya¹,Fox Dieter³,Ramos Fabio³^ORCID,Bohg Jeannette¹^ORCID

Affiliation:

1. Department of Computer Science, Stanford University, Stanford, CA, USA

2. Machine Learning Department, Carnegie Mellon University, Pittsburgh, PA, USA

3. NVIDIA, Seattle, WA, USA

Funder

National Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Control and Optimization,Computer Science Applications,Computer Vision and Pattern Recognition,Mechanical Engineering,Human-Computer Interaction,Biomedical Engineering,Control and Systems Engineering

Link

https://ieeexplore.ieee.org/ielam/7083369/9750005/9730061-aam.pdf

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4. Inferring the Material Properties of Granular Media for Robotic Tasks

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