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STReSSD: Sim-To-Real from Sound for Stochastic Dynamics
[article]
2020
arXiv
pre-print
Preserved Fulltext
This work presents STReSSD, a framework that uses sound to bridge the simulation-to-reality gap for stochastic dynamics, demonstrated for the canonical case of a bouncing ball. ...
Sound is an information-rich medium that captures dynamic physical events. ...
We thank Matthew Matl and all reviewers for their insightful feedback and suggestions. ...
arXiv:2011.03136v1
fatcat:l33ie2aiabcmzbcaokuyxpnx3m
A Bayesian Treatment of Real-to-Sim for Deformable Object Manipulation
[article]
2021
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
Overall, our method addresses the real-to-sim problem probabilistically and helps to better represent the evolution of the state of deformable objects. ...
We propose a novel methodology for extracting state information from image sequences via a technique to represent the state of a deformable object as a distribution embedding. ...
Ramos, “STReSSD:
[12] J. Grannen, P. Sundaresan, B. Thananjeyan, J. Ichnowski, A. Bal- Sim-to-real from sound for stochastic dynamics,” in Proceedings of
akrishna, M. Hwang, V. ...
arXiv:2112.05068v1
fatcat:hy33didiafac7kxlntlrco7lyi