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Body Randomization Reduces the Sim-to-Real Gap for Compliant Quadruped Locomotion
Designing controllers for compliant, underactuated robots is challenging and usually requires a learning procedure. Learning robotic control in simulated environments can speed up the process whilst lowering risk of physical damage. Since perfect simulations are unfeasible, several techniques are us...
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| Publicado no: | Front Neurorobot |
|---|---|
| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Frontiers Media S.A.
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6448581/ https://ncbi.nlm.nih.gov/pubmed/30983987 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fnbot.2019.00009 |
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