RESEARCH PAPERYear 2018

Sim-to-Real Transfer of Robotic Control with Dynamics Randomization

Xue Bin Peng; Marcin Andrychowicz; Wojciech Zaremba; Pieter Abbeel

Classification

Major category: Foundational work
Quadrant: Not applicable
Architecture: Not applicable
Prediction paradigm: Not applicable
Subcategories: Training optimization & distillation Action policy foundations
Source review status: Verified from primary sources

Category review. Dynamics Randomization is a pre-2026 sim-to-real policy-learning foundation. It trains recurrent control across randomized simulator physics and deploys without real-world fine-tuning; it does not learn a future-world predictor or reusable model backbone. Reading evidence

AT A GLANCE

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BibTeX

@inproceedings{peng2017simtoreal,
  author       = {Xue Bin Peng and
                  Marcin Andrychowicz and
                  Wojciech Zaremba and
                  Pieter Abbeel},
  title        = {Sim-to-Real Transfer of Robotic Control with Dynamics Randomization},
  booktitle    = {ICRA},
  pages        = {1--8},
  year         = {2018},
}

Classification

Contribution

Abstract

Affiliations

BibTeX

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